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Articles 18091 - 18120 of 291657

Full-Text Articles in Physical Sciences and Mathematics

In The Footsteps Of Moose: Using Non-Invasive Techniques To Identify Cause-Specific Calf Mortalities And Evaluate Moose (Alces Alces) Movements Pertaining To Mineral Lick Locations On Ancestral Lands Of The Grand Portage Ojibwe, Anna B. Weesies Jan 2025

In The Footsteps Of Moose: Using Non-Invasive Techniques To Identify Cause-Specific Calf Mortalities And Evaluate Moose (Alces Alces) Movements Pertaining To Mineral Lick Locations On Ancestral Lands Of The Grand Portage Ojibwe, Anna B. Weesies

Electronic Theses and Dissertations

Following a sharp moose (Alces alces; mooz, Anishinaabemowin, Ojibwe language) population decline in northeastern Minnesota during the early 2000s, the Grand Portage Band of Lake Superior Chippewa initiated a long-term moose collaring effort to assess survival and mortality causes. Moose are a culturally important species to the Band, with annual subsistence hunts held on the Reservation and adjacent 1854 Ceded Territory. Continued research guides culturally appropriate management decisions aimed at bolstering calf and adult survival, helping to preserve this moose in Minnesota today and for subsequent generations. Chapter 1 identifies cause-specific calf mortality rates in this multi-predator system using minimally …

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Computation-Efficient Deep Learning Models For Computer Vision And Multimodal Vision-Language Tasks Via Network Pruning, Abir Mohammad Hadi Jan 2025

Computation-Efficient Deep Learning Models For Computer Vision And Multimodal Vision-Language Tasks Via Network Pruning, Abir Mohammad Hadi

Electronic Theses and Dissertations

With the rapid evolution of deep neural networks over the past decade, the demand for efficient, generalizable, and task-adaptable models, especially in computer vision, has increased significantly. To address the computational and deployment challenges posed by overparameterized models, the research community has extensively explored model compression techniques such as pruning, quantization, and distillation. These approaches aim to enhance model efficiency without compromising performance, particularly when adapting to domain-specific tasks under limited resources. This dissertation investigates several underexplored yet critical aspects of task-aware deep learning model compression, spanning both convolutional and vision-language architectures. In the early part of this work, we …

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Video Comprehension Score (Vcs): A Metric For Long-Form Video Description Evaluation, Harsh Dubey Jan 2025

Video Comprehension Score (Vcs): A Metric For Long-Form Video Description Evaluation, Harsh Dubey

Electronic Theses and Dissertations

Existing video description evaluation metrics fail to capture the long-range chronology and semantic alignment essential for long-form descriptions. An effective evaluation metric for long-form descriptions must (i) assess global thematic alignment, (ii) measure local semantic alignment, and (iii) evaluate chronological alignment while detecting corrupted content. We introduce Video Comprehension Score (VCS), a reference-based metric, which directly addresses these evaluation requirements through three components: Global Alignment Score for thematic alignment, Local Alignment Score for local semantic alignment, and Narrative Alignment Score for chronological alignment with adjustable tolerance. We evaluate VCS on two large-scale synthetic datasets designed to test corruption detection and …

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Characterizing A Free-Roaming Cat Population To Predict Predation Of Threatened Species In An Island Ecosystem, Sarah Gheida Jan 2025

Characterizing A Free-Roaming Cat Population To Predict Predation Of Threatened Species In An Island Ecosystem, Sarah Gheida

Electronic Theses and Dissertations

No abstract provided.

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Quantifying Landscape Variability Of Dynamic Soil Properties In The James River Valley, Eastern South Dakota, Sage Reuter-Schmitt Jan 2025

Quantifying Landscape Variability Of Dynamic Soil Properties In The James River Valley, Eastern South Dakota, Sage Reuter-Schmitt

Electronic Theses and Dissertations

Dynamic soil properties (DSP) are a great tool for monitoring land-use change, and they are frequently used as soil health metrics. The NRCS and other soil researchers often use repeating, single-point or nested-point DSP studies to monitor and better understand the effects of land management decisions. While these studies capture the temporal variability of DSPs, they overlook the field-scale spatial variability of DSPs. Soil organic carbon (SOC) provides critical services to the ecosystem and other environments. These traits, as well as its susceptibility to management decisions, make SOC an important soil health indicator and DSP. Measuring SOC is often time …

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The Spatial And Temporal Dimensions Of Plant–Soil Feedback In Native Perennial Monocultures, Bret Lang Jan 2025

The Spatial And Temporal Dimensions Of Plant–Soil Feedback In Native Perennial Monocultures, Bret Lang

Electronic Theses and Dissertations

Plant-soil feedbacks (PSFs) describe how plants change their soil environment in ways that can either negatively or positively affect subsequent plant growth. In doing so, they offer an opportunity to connect ecological processes with agricultural practice. My dissertation examines PSFs created by native perennial monocultures, commonly used for native seed production, across time and space, and through soil legacies. Specifically, I focus on how plant species identity shapes both soil nutrient and soil microbial community responses. To address these questions, I conducted field experiments with monocultures of five forb species native to South Dakota and established plots with these species …

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Discovery Of Photosynthetic Oxic N2-Fixation In Cyanobacteria Using Wet Lab And Machine Learning Approaches, James A. Young Iii Jan 2025

Discovery Of Photosynthetic Oxic N2-Fixation In Cyanobacteria Using Wet Lab And Machine Learning Approaches, James A. Young Iii

Electronic Theses and Dissertations

No abstract provided.

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Survey-Weighted Ordinal Modeling Of Alcohol-Associated Liver Disease Severity Through Social Determinants Of Health, Jaylene Viveros Cruz Jan 2025

Survey-Weighted Ordinal Modeling Of Alcohol-Associated Liver Disease Severity Through Social Determinants Of Health, Jaylene Viveros Cruz

Selected Full-Text Master Theses 2021-

Alcohol-associated liver disease (ALD) is a condition that describes the spectrum of disease and liver injury attributed to the consumption of alcohol. ALD diagnosis is heavily dependent on alcohol use, making it challenging to test for, as alcohol use is often self-reported, and early-stage ALD can present asymptomatically. This study aims to explore how social determinants of health associated with alcohol use behaviors predict ALD-related liver stress risk. MEC participants included in the two two-year cycles of the National Health and Nutrition Examination Survey (NHANES), 2014-2014 and 2015-2016, were assigned liver stress labels based on clinical thresholds for ALD diagnosis. …

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Engineering Geological And Groundwater Mapping Of Negara Brunei Darussalam For Urban Planning, Nur Thaqifah Junaidi, Siti Lieyana Azffri, Afiq Aiman Jaya, Muhammad Asri Akmal Suhip, Stefan Herwig Gödeke Jan 2025

Engineering Geological And Groundwater Mapping Of Negara Brunei Darussalam For Urban Planning, Nur Thaqifah Junaidi, Siti Lieyana Azffri, Afiq Aiman Jaya, Muhammad Asri Akmal Suhip, Stefan Herwig Gödeke

ASEAN Journal on Science and Technology for Development

Engineering geology and Hydrogeology play a crucial role in the development of urban areas. Without a thorough geological and hydrogeological understanding, urban development can be risky and prone to numerous challenges. In this study, we aim to conduct engineering geological and groundwater mapping of Brunei utilizing data from 614 sacrificial investigative boreholes drilled over the course of 40 years for geotechnical investigation and housing development. Borehole parameters such as soil data, SPT N-values, depth to groundwater and surface elevation were gathered and evaluated. Soil investigation in the study area revealed predominantly clayey sediments with SPT N-values ranging from 0 to …

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From Theory To Practice: Simulating Zero Trust Architecture With Python For Cybersecurity, Pankaj R. Chandre, Bhagyashree D. Shendkar, Sulochana Sagar Madachane, Nikita Kulkarni, Sayalee Deshmukh Jan 2025

From Theory To Practice: Simulating Zero Trust Architecture With Python For Cybersecurity, Pankaj R. Chandre, Bhagyashree D. Shendkar, Sulochana Sagar Madachane, Nikita Kulkarni, Sayalee Deshmukh

ASEAN Journal on Science and Technology for Development

The increasing complexity and frequency of cyber threats have necessitated the adoption of advanced security models, such as Zero Trust Architecture (ZTA). ZTA runs on the tenet that no entity whether inside or outside the network should be trusted by default, in contrast to conventional perimeter-based security solutions. This paper describes a thorough method for simulating and implementing Zero Trust Architecture in Python. We examine the essential elements and procedures of ZTA, such as identity verification, access control, and continuous monitoring, through a thorough analysis and step-by-step manual. The simulation shows how ZTA works to ensure strong network security and …

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Solid Waste Management Strategies In Coastal Areas Affected By Seawater Flood Disaster, Adib Khoirul Anas, Maryono Maryono, Hartuti Purnaweni Jan 2025

Solid Waste Management Strategies In Coastal Areas Affected By Seawater Flood Disaster, Adib Khoirul Anas, Maryono Maryono, Hartuti Purnaweni

ASEAN Journal on Science and Technology for Development

Solid waste in areas affected by seawater floods must be handled specifically because people often dispose of solid waste on flooded land. This research aims to identify the performance of the community to manage solid waste and solid waste management strategy, solid waste measurement using SNI method 19-3964-1994. Analysis of land affected by seawater floods shows that 12 villages are flooded. Communities in coastal areas are not optimal in managing solid waste because the government has never given directions to manage solid waste in a good way, the facilities and marketing are inadequate so that solid waste is often not …

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Kadysnet: A Novel Approach To Dyslexia Prediction In Children: Combining Handwritten Text Recognition With A Hybrid Cnn-Bilstm-Ctc Model And Personalized Learning Strategies, Shailesh Prabhakar Patil, Ravindra Sadashivrao Apare, Ravindra Honaji Borhade, Parikshit Narendra Mahalle Jan 2025

Kadysnet: A Novel Approach To Dyslexia Prediction In Children: Combining Handwritten Text Recognition With A Hybrid Cnn-Bilstm-Ctc Model And Personalized Learning Strategies, Shailesh Prabhakar Patil, Ravindra Sadashivrao Apare, Ravindra Honaji Borhade, Parikshit Narendra Mahalle

ASEAN Journal on Science and Technology for Development

This study introduces a novel approach for early dyslexia detection in children through automated handwriting analysis, integrating a hybrid CNN-BiLSTM-CTC architecture with personalized learning strategies. Our method combines a custom CNN-BiLSTM-CTC model with tailored educational interventions to support dyslexic learners. We analyzed children's handwritten text images in English, collected from specially designed tests involving word rewriting, sentence reconstruction, and paragraph composition, particularly challenging tasks for dyslexic individuals. Notably, our CNN-BiLSTM-CTC model achieved the best result with an accuracy of 97.67%, outperforming other architectures. Compared to pre-trained models like EfficientNetB7, DenseNet121, and MobileNetV2, our custom CNN-BiLSTM-CTC model demonstrated superior performance. Key …

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Analysis Of Sea Level Rise In The Subduction Zone At The Coastal Area Of Selaru Island And Yamdena Island In Tanimbar Islands District, Ibnu A. Azies, Engki A. Kisnarti, Johar Setiyadi, Widodo S. Pranowo Jan 2025

Analysis Of Sea Level Rise In The Subduction Zone At The Coastal Area Of Selaru Island And Yamdena Island In Tanimbar Islands District, Ibnu A. Azies, Engki A. Kisnarti, Johar Setiyadi, Widodo S. Pranowo

ASEAN Journal on Science and Technology for Development

The phenomenon of sea level rise (SLR) is a global issue affecting coastal areas. This study analyzes SLR and land deformation in the subduction zone of the Tanimbar Islands, specifically the coastal regions of Adaut on Selaru Island and Saumlaki on Yamdena Island. Statistical methods and the CEEMDAN algorithm were used to process data on tides, Sea Level Anomaly (SLA), Sea Surface Temperature (SST), and the influence of the El Niño-Southern Oscillation (ENSO) over 30 years (1993–2022). Additionally, land deformation was analyzed using Sentinel-1A imagery. The results indicate that uplift is more dominant than subsidence, with an average annual uplift …

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Unwritten Rules And Oral Transmission In Architectural Proportion Systems: Case Study Of Bubungan Tinggi House, Huzairin. Muhammad Deddy, Dila Nadya Andini, Rudi Hartono, Anna Oktaviana, Dahliani Dahliani Jan 2025

Unwritten Rules And Oral Transmission In Architectural Proportion Systems: Case Study Of Bubungan Tinggi House, Huzairin. Muhammad Deddy, Dila Nadya Andini, Rudi Hartono, Anna Oktaviana, Dahliani Dahliani

ASEAN Journal on Science and Technology for Development

The proportional systems in vernacular architecture often exist without formal written codification, raising questions about their transmission across generations. Bubungan Tinggi House which is a replica of the Banjar Kingdom palace was built by Banjarese merchants and aristocrats from the 16th to the 19th centuries, showing a uniform aesthetic quality, which indicates a regularity in the proportions of its form. However, no historical written manuals detailing these proportions are known to exist. To prove the existence of regularity in the Bubungan Tinggi House proportion system, research was conducted by taking 7 Bubungan Tinggi House samples spread across South Kalimantan province, …

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Leveraging Strategic Information Systems For Competitive Advantage: A Case Study Of Veolia As A Multinational Enterprise, Sohail Nawaz Sabir Jan 2025

Leveraging Strategic Information Systems For Competitive Advantage: A Case Study Of Veolia As A Multinational Enterprise, Sohail Nawaz Sabir

ASEAN Journal on Science and Technology for Development

Instead of examining several components that link planning and strategy implementation, researchers have focused on the alignment of IT and business, as well as the Strategic Information Systems Planning (SISP) process. The goal of this study is to examine several approaches that can close the gap between IT project planning and execution. Therefore, the primary objective of the proposed study is to examine SISP implementation strategies that can be theorized in the context of Veolia, a global multinational corporation (MNC). The primary aspects influencing the SISP for this study are the frequency of planning, the function of IT/business managers, assessment …

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Numerical And Experimental Investigation Of Mechanical Performance, Interface Pressure Distribution, And Structural Safety Of Glass Fiber-Reinforced Below-Knee Prosthetic Sockets, Saif M. Abbas, Kadhim K. Resan, Mohammed Ali Abdulrehman, Ali M. Flayyih Jan 2025

Numerical And Experimental Investigation Of Mechanical Performance, Interface Pressure Distribution, And Structural Safety Of Glass Fiber-Reinforced Below-Knee Prosthetic Sockets, Saif M. Abbas, Kadhim K. Resan, Mohammed Ali Abdulrehman, Ali M. Flayyih

ASEAN Journal on Science and Technology for Development

In this study, below-knee prosthetic sockets reinforced with glass-fiber composites were investigated experimentally and numerically. In compliance with the ASTM guidelines, two lay-up configurations were constructed and tested for tensile and fatigue strengths. During the gait trials, the F-socket system was used to measure the interface pressure distribution. Stress, deformation, and safety factor responses under physiological loading conditions were simulated using complementary finite element analysis (FEA). With the yield strength, ultimate tensile strength, and fatigue life significantly improved in the reinforced group, the results demonstrated that the 10-layer laminate displayed superior mechanical performance relative to the 8-layer laminate; however, this …

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Performance Evaluation And Economic Analysis Of Lithium Iron Phosphate (Lfp) And Nickel Manganese Cobalt (Nmc) Batteries In Electric Vehicles In Indonesia, Yasa Sanusi, Fatwa Tresna Radityan, Farrah Anis Fazliatul Adnan, Jong Soo Rhee, Dianta Ginting Jan 2025

Performance Evaluation And Economic Analysis Of Lithium Iron Phosphate (Lfp) And Nickel Manganese Cobalt (Nmc) Batteries In Electric Vehicles In Indonesia, Yasa Sanusi, Fatwa Tresna Radityan, Farrah Anis Fazliatul Adnan, Jong Soo Rhee, Dianta Ginting

ASEAN Journal on Science and Technology for Development

The transfer to electric vehicles (EVs) in more and more countries is a response to the increasing problems of climate change and air pollution. Electric cars solve this issue as they have zero emissions. EVs can significantly reduce carbon and air pollution, depending on the charging energy mix. In Indonesia, lithium ferro phosphate and nickel manganese cobalt are among the two most preferred types of batteries for EVs, and both have their advantages. This study evaluates the performance of these batteries in terms of power, range, charging speed, and thermal properties, using a range of battery capacities from 26.7 kWh …

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Manure Handling In Circular Farming: An In Vitro Study Of Fermented Poultry Manure As Unconventional Feed For Ruminants, Dimas Hand Vidya Paradhipta, De Lavida Padma Terrakota, Ali Agus, Andriyani Astuti, Viagian Pastawan, Kharisma Taufiqa Hidayah Jan 2025

Manure Handling In Circular Farming: An In Vitro Study Of Fermented Poultry Manure As Unconventional Feed For Ruminants, Dimas Hand Vidya Paradhipta, De Lavida Padma Terrakota, Ali Agus, Andriyani Astuti, Viagian Pastawan, Kharisma Taufiqa Hidayah

ASEAN Journal on Science and Technology for Development

The development of the poultry industry must consider the principle of circular economy. Therefore, this study aims to develop a method of fermenting poultry manure as a new, unconventional feed, which can support the model of circular farming. Poultry manure obtained from laying hens was mixed with cassava solid waste at a ratio of 7:3 to maintain proper moisture content. The mixed manure fermented for 14 days into a 30 kg silo in triplicate using different additives, namely Lactiplantibacillus plantarum FNCC 0020 at 1 x 105 cfu/g (LP), Bacillus cereus LS2B as proteolytic bacteria at 1 x …

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Numerical Modeling Of Performance And Phenomena In A Single Proton Exchange Membrane Fuel Cell, Doan Nguyen Cong, Hiep Nguyen Ha Jan 2025

Numerical Modeling Of Performance And Phenomena In A Single Proton Exchange Membrane Fuel Cell, Doan Nguyen Cong, Hiep Nguyen Ha

ASEAN Journal on Science and Technology for Development

One of the methods to protect our environment is to convert the fuel's chemical energy directly into electricity, bypassing the fuel's combustion process. This method is implemented in devices called fuel cells. Among them, the proton exchange membrane fuel cell (PEMFC) is widely used in practice because it has outstanding advantages such as high power density and efficiency, low operating temperature and noise, compactness, fast start-up, and, most importantly, only releases water, entirely safe for the environment. The paper presents a method for selecting materials for manufacturing PEMFC components, making a single PEMFC model based on the materials chosen, then …

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Neuro-Symbolic Ai: A Future Of Tomorrow, Pankaj Chandre, Parikshit Mahalle, Gitanjali Shinde, Bhagyashree Shendkar, Shraddha Kashid Jan 2025

Neuro-Symbolic Ai: A Future Of Tomorrow, Pankaj Chandre, Parikshit Mahalle, Gitanjali Shinde, Bhagyashree Shendkar, Shraddha Kashid

ASEAN Journal on Science and Technology for Development

Neuro-Symbolic AI: A Future of Tomorrow" explores the convergence of neural learning and symbolic reasoning to advance artificial intelligence (AI) systems. Symbolic reasoning makes use of knowledge representation techniques and rule-based systems, whereas neural learning analyzes data using deep learning models. AI becomes more adept at fusing data-driven insights with deductive reasoning when these methods are integrated using hybrid models and differentiable reasoning techniques. Applications show enhanced diagnostic precision and decision-making skills in a variety of industries, including robotics, healthcare, and finance. To promote responsible AI development, regulatory frameworks and ethical principles address issues like bias and transparency. Future paths …

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Analysis Of The Sustainability Management Of Coral Reef Ecosystem In The Marine Protected Area Of Wediombo, Gunungkidul, Nabilah L. Rohmah, Rika Harini, Sudrajat Sudrajat Jan 2025

Analysis Of The Sustainability Management Of Coral Reef Ecosystem In The Marine Protected Area Of Wediombo, Gunungkidul, Nabilah L. Rohmah, Rika Harini, Sudrajat Sudrajat

ASEAN Journal on Science and Technology for Development

The Wediombo Coastal Area is a Marine Protected Area (MPA) with highly potential in coral reef ecosystems. According to the Millennium Ecosystem Assessment (MEA), coral reefs play a vital role in supporting human life by providing provisioning, supporting, regulating, and cultural services. However, the utilization of this area as a tourist destination and suboptimal management practices have led to the degradation of its coral reef ecosystems. Efective management strategies for the sustainability of coral reefs can have positive impacts across ecological, economic, social, technological, and institutional dimensions. Therefore, this study aims to analyze the sustainability management of coral reef ecosystem …

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Potential Of Green Synthesis Of Silver And Gold Nanoparticles For The Management Of Metabolic Associated Steatotic Liver Disease: A Mini Review, Atiqah Suhaili, Ya Chee Lim, Mei Ann Lim, Lee Hoon Lim, Mohammad Mansoob Khan, Monowarul Mobin Siddique Jan 2025

Potential Of Green Synthesis Of Silver And Gold Nanoparticles For The Management Of Metabolic Associated Steatotic Liver Disease: A Mini Review, Atiqah Suhaili, Ya Chee Lim, Mei Ann Lim, Lee Hoon Lim, Mohammad Mansoob Khan, Monowarul Mobin Siddique

ASEAN Journal on Science and Technology for Development

Metabolic-associated steatotic liver disease is a metabolic disorder with limited pharmacological treatment options and only one approved medication to date. MASLD can be asymptomatic in its earlier stage and hence, prevention of this disease progression is the most effective approach. Recently, green-synthesized nanoparticles, particularly silver (AgNPs) and gold nanoparticles (AuNPs), have gained interest due to their eco-friendly production, biocompatibility, and bioactive properties. This review highlights the biosynthesis of AgNPs and AuNPs using medicinal plant extracts and their reported biological effects relevant to MASLD management including anti-hyperlipidemic, anti-diabetic, antioxidant and anti-inflammatory activities. While findings are promising, further mechanistic studies and preclinical …

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Quality And Safety Analysis Of Integrated Bus Services And Feeder Transport In Surabaya, Indonesia, Desrina Yusi Irawati, Agrienta Bellanov, Armadeo Ruben Canariesa Jan 2025

Quality And Safety Analysis Of Integrated Bus Services And Feeder Transport In Surabaya, Indonesia, Desrina Yusi Irawati, Agrienta Bellanov, Armadeo Ruben Canariesa

ASEAN Journal on Science and Technology for Development

The Surabaya city government has developed public transportation through integrated bus services and feeder transport. These transportation systems include Trans Semanggi, Suroboyo Bus, and Wira Wiri Surabaya. The challenge facing these transportation programs is the low level of public participation in using public transportation. This research aims to provide a comprehensive investigation of the perceived service quality of integrated public transportation in Surabaya by combining the RESCA and SERVQUAL frameworks. The study contributes by highlighting service quality gaps across five customized dimensions and offering practical insights to improve user satisfaction and increase public transport usage. Each RESCA dimension incorporates RATER …

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Seismic Vulnerability Assessment With Rapid Visual Screening Of Hospital Buildings In Maguindanao Province, Philippines, Ebrahim B. Kayog, Kristine S. Companion, Kenny B. Cantila, Elizabeth Edan M. Albiento Jan 2025

Seismic Vulnerability Assessment With Rapid Visual Screening Of Hospital Buildings In Maguindanao Province, Philippines, Ebrahim B. Kayog, Kristine S. Companion, Kenny B. Cantila, Elizabeth Edan M. Albiento

ASEAN Journal on Science and Technology for Development

Hospitals are expected to maintain operations during and after earthquakes, yet many facilities in the Philippines remain structurally and non-structurally vulnerable. This study evaluates the seismic vulnerability of selected public hospitals in Maguindanao Province, located near the Cotabato Trench and the Western Mindanao Fault, using the FEMA P-154 (3rd ed.) Rapid Visual Screening (RVS) Level-1 procedure. Four government hospitals, comprising 53 buildings constructed between 1980 and 2025, were assessed through a systematic visual inspection and review of available secondary records. Basic structural hazard scores were adjusted using FEMA score modifiers (performance modification factors) to compute Final Level-1 scores (Sₗ₁) and …

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Assessing The Probable Sources Affecting The Water Quality Index Of The Panch Prayag Belt Of Uttarakhand, India, Debasis Sau, Indranil Mukherjee, Wasim Akram, Kakali Ghosh, Rimi Paul, Reshmi Paul, Athar Akram Jan 2025

Assessing The Probable Sources Affecting The Water Quality Index Of The Panch Prayag Belt Of Uttarakhand, India, Debasis Sau, Indranil Mukherjee, Wasim Akram, Kakali Ghosh, Rimi Paul, Reshmi Paul, Athar Akram

ASEAN Journal on Science and Technology for Development

The Water Quality Index (WQI) is an essential metric for evaluating the usability of surface water resources, particularly in ecologically sensitive and high-demand areas like the Panch Prayag belt of Uttarakhand, India. This region, comprising five major pilgrimage towns—Devaprayag, Nandprayag, Vishnuprayag, Karnaprayag, and Rudraprayag—faces seasonal fluctuations in water quality due to both natural and anthropogenic pressures. In this study, water samples were collected from 2021 to 2023 across pre-monsoon, monsoon, and post-monsoon seasons, and the WQI was computed using the Canadian Water Quality Index (CWQI 1.0). Results revealed that WQI values ranged from 36 to 45 across locations and seasons, …

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Artificial Intelligence To Transform Lifelong Learning And Workforce Development In Southeast Asia: A Call To Action, Shyh Poh Teo, Khadizah H. Abdul-Mumin Jan 2025

Artificial Intelligence To Transform Lifelong Learning And Workforce Development In Southeast Asia: A Call To Action, Shyh Poh Teo, Khadizah H. Abdul-Mumin

ASEAN Journal on Science and Technology for Development

No abstract for this article type.

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From Data To Insight: A Machine Learning Approach In Classifying Dairy Cow Productivity Level And Identifying Important Influencing Variables, Fatkhurokhman Fauzi, Achmad Fauzan, Rhendy K P Widiyanto, Khairil Anwar Notodiputro, Bagus Sartono Jan 2025

From Data To Insight: A Machine Learning Approach In Classifying Dairy Cow Productivity Level And Identifying Important Influencing Variables, Fatkhurokhman Fauzi, Achmad Fauzan, Rhendy K P Widiyanto, Khairil Anwar Notodiputro, Bagus Sartono

Knowledge Engineering and Data Science

Identifying influential predictor variables is crucial for enhancing model interpretability in supervised classification. This study applies Permutation Variable Importance (PVI), a model-agnostic approach, to evaluate variable relevance after model fitting. Using data from the 2024 Indonesia Dairy Cow Productivity Survey, this research investigates five classification techniques: (1) Support Vector Machine (SVM), (2) Neural Network (NN), (3) k-Nearest Neighbors (kNN), (4) Naïve Bayes Classifier (NB), and (5) Logistic Regression (LR), to identify which method(s) yield the best performance based on evaluation metrics such as accuracy, sensitivity, and specificity. PVI is employed to identify the most influential predictor variables within the best-performing …

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Classification Of Indonesian Sign Language (Sibi) Using Data Mining Algorithms K-Nearest Neighbor And Random Forest, Muhammad Zaki Wirawan, Achmad Afif, Anik Nur Handayani, Imanuel Hitipeuw, Osamu Fukuda Jan 2025

Classification Of Indonesian Sign Language (Sibi) Using Data Mining Algorithms K-Nearest Neighbor And Random Forest, Muhammad Zaki Wirawan, Achmad Afif, Anik Nur Handayani, Imanuel Hitipeuw, Osamu Fukuda

Knowledge Engineering and Data Science

This study aims to address the communication hallenges faced by the Indonesian deaf community by developing an automatic classification model for Sistem Bahasa Isyarat Indonesia (SIBI) using data mining techniques. The main objective is to identify a practical algorithm for recognizing SIBI hand gestures to enhance accessibility and inclusiveness in digital communication. A comprehensive dataset consisting of 32,850 gesture samples representing SIBI alphabet signs was collected and processed through feature extraction, data cleaning, and normalization using Z-Transform and Min-Max methods. Two classification algorithms, K-Nearest Neighbor (KNN) and Random Forest, were implemented and evaluated using metrics such as accuracy, precision, recall, …

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Comparative Analysis Of Deep Learning Algorithms For Predicting Enso Based On Non-Sequential Sampling Procedure Algorithms, Ria Faulina, Siti Hadijah Hasanah, Nuramaliyah Nuramaliyah, Ika Nur Laily Fitriana Jan 2025

Comparative Analysis Of Deep Learning Algorithms For Predicting Enso Based On Non-Sequential Sampling Procedure Algorithms, Ria Faulina, Siti Hadijah Hasanah, Nuramaliyah Nuramaliyah, Ika Nur Laily Fitriana

Knowledge Engineering and Data Science

The El Niño–Southern Oscillation (ENSO) is a major climate phenomenon that significantly influences global weather patterns, particularly rainfall and temperature variability across different regions. Accurate ENSO forecasting is therefore essential to support disaster risk mitigation and strategic decision-making in climate-sensitive sectors such as agriculture, fisheries, and water resource management. This study investigates the performance of deep learning approaches for ENSO prediction using a non-sequential sampling procedure on historical climate data. Three models are comparatively evaluated: Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and a hybrid CNN–LSTM architecture. The results demonstrate that the hybrid CNN–LSTM model outperforms the standalone CNN …

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Data Privacy Regulations In The Gaming Industry: A Comparative Analysis Of Singapore, Macau, And Japan, Miloslava Plachkinova Jan 2025

Data Privacy Regulations In The Gaming Industry: A Comparative Analysis Of Singapore, Macau, And Japan, Miloslava Plachkinova

Faculty Articles

This study explores the relatively under-researched area of comparing data privacy regulations and best practices across different countries, with a focus on the gaming industry. It provides an overview of general data privacy principles and existing global regulations, analyzing how gaming operators leverage personal data for competitive advantage. Specifically, the research examines the data privacy approaches and regulatory requirements in Singapore, Macau, and Japan, highlighting the cultural and historical contexts influencing these regulations. Through a comparative analysis, the article discusses the compliance needs for gaming operators in these jurisdictions.

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