Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Sciences (62877)
- Earth Sciences (59184)
- Environmental Sciences (51903)
- Engineering (40751)
- Life Sciences (38959)
-
- Physics (33955)
- Chemistry (33105)
- Geology (29921)
- Mathematics (27124)
- Social and Behavioral Sciences (21070)
- Soil Science (14281)
- Oceanography and Atmospheric Sciences and Meteorology (13969)
- Plant Sciences (13821)
- Computer Engineering (13535)
- Education (13237)
- Statistics and Probability (12776)
- Artificial Intelligence and Robotics (11088)
- Medicine and Health Sciences (11022)
- Agronomy and Crop Sciences (10771)
- Weed Science (10365)
- Arts and Humanities (9914)
- Natural Resources and Conservation (9792)
- Agricultural Science (9782)
- Plant Biology (9650)
- Sustainability (9381)
- Plant Pathology (9365)
- Electrical and Computer Engineering (9150)
- Astrophysics and Astronomy (8852)
- Natural Resources Management and Policy (8557)
- Institution
-
- University of Nebraska - Lincoln (25776)
- Western Michigan University (20676)
- University of Kentucky (14835)
- TÜBİTAK (10694)
- Singapore Management University (9283)
-
- Utah State University (7934)
- Missouri University of Science and Technology (7284)
- Old Dominion University (7254)
- Portland State University (4174)
- University of South Florida (4047)
- Wright State University (3959)
- University of Nevada, Las Vegas (3926)
- China Simulation Federation (3880)
- City University of New York (CUNY) (3718)
- Louisiana State University (3651)
- Brigham Young University (3435)
- University of Texas Rio Grande Valley (3102)
- Chulalongkorn University (3095)
- Air Force Institute of Technology (3047)
- University of Arkansas, Fayetteville (3042)
- Department of Primary Industries and Regional Development, Western Australia (2906)
- Purdue University (2867)
- Claremont Colleges (2858)
- California Polytechnic State University, San Luis Obispo (2724)
- University of Texas at El Paso (2564)
- Chinese Chemical Society | Xiamen University (2389)
- Technological University Dublin (2381)
- University of South Carolina (2377)
- Wayne State University (2314)
- Montana Tech Library (2304)
- Keyword
-
- Machine learning (2160)
- Western Australia (1954)
- Climate change (1620)
- Mathematics (1404)
- Sustainability (1179)
-
- Deep learning (1164)
- Chemistry (1128)
- Artificial intelligence (1090)
- Physics (1031)
- Machine Learning (1012)
- Geology (973)
- Groundwater (970)
- Water quality (898)
- United States (808)
- Computer Science (792)
- Simulation (784)
- Nebraska (774)
- Education (741)
- Remote sensing (707)
- Climate (700)
- Agriculture (698)
- Grains and field crops (697)
- Water (694)
- Security (683)
- Statistics (683)
- Optimization (662)
- Conservation (645)
- Environment (620)
- Humans (601)
- Algorithms (583)
- Publication Year
-
- 2026 (7432)
- 2025 (11876)
- 2024 (13918)
- 2023 (14058)
- 2022 (18163)
-
- 2021 (27663)
- 2020 (14752)
- 2019 (13000)
- 2018 (11754)
- 2017 (11069)
- 2016 (10847)
- 2015 (9561)
- 2014 (9780)
- 2013 (8909)
- 2012 (8503)
- 2011 (7728)
- 2010 (6923)
- 2009 (6337)
- 2008 (5860)
- 2007 (5716)
- 2006 (4897)
- 2005 (4757)
- 2004 (3869)
- 2003 (3319)
- 2002 (2989)
- 2001 (2754)
- 2000 (2640)
- 1999 (2333)
- 1998 (2329)
- 1997 (2179)
- Publication
-
- Legacy Scout Tickets from Pure Oil Company (11044)
- IGC Proceedings (1977-2023) (9261)
- Theses and Dissertations (8731)
- Research Collection School Of Computing and Information Systems (8452)
- Thin Sections (6677)
-
- Faculty Publications (4103)
- Journal of System Simulation (3880)
- Electronic Theses and Dissertations (3529)
- Nebraska Tractor Tests (3397)
- Turkish Journal of Electrical Engineering and Computer Sciences (3096)
- Turkish Journal of Chemistry (2720)
- Turkish Journal of Mathematics (2595)
- Journal of Electrochemistry (2389)
- Physics Faculty Publications (2156)
- Masters Theses (2070)
- Dissertations (2014)
- Physics Faculty Research & Creative Works (1961)
- Chulalongkorn University Theses and Dissertations (Chula ETD) (1876)
- Coal Geology & Exploration (1799)
- Silver Bow Creek/Butte Area Superfund Site (1778)
- USF Tampa Graduate Theses and Dissertations (1754)
- School of Natural Resources: Faculty Publications (1733)
- Department of Computer Science Technical Reports (1721)
- United States Department of Agriculture Wildlife Services: Staff Publications (1622)
- All Graduate Theses and Dissertations, Spring 1920 to Summer 2023 (1436)
- Publications and Research (1403)
- LSU Doctoral Dissertations (1387)
- Publications (1383)
- Turkish Journal of Physics (1374)
- Articles (1348)
- Publication Type
Articles 33181 - 33210 of 291657
Full-Text Articles in Physical Sciences and Mathematics
Unlocking The Potential Of Simulated Hyperspectral Imaging In Agro Environmental Analysis: A Comprehensive Study Of Algorithmic Approaches, Shafaq Khan, Munir Majdalawieh, Boubakeur Boufama, Yajan Sharma, Ashwitha Basani
Unlocking The Potential Of Simulated Hyperspectral Imaging In Agro Environmental Analysis: A Comprehensive Study Of Algorithmic Approaches, Shafaq Khan, Munir Majdalawieh, Boubakeur Boufama, Yajan Sharma, Ashwitha Basani
All Works
This study focuses on identifying and evaluating the severity of powdery mildew disease in tomato plants. The uniqueness of this work lies in combining the imaging and advanced deep learning methods to develop a technique that transforms Red Green Blue (RGB) images into Simulated Hyperspectral Images (SHSI) to perform spectral and spatial analysis for precise detection and assessment of powdery mildew severity, thereby enhancing disease management. Furthermore, this research evaluates three advanced pre-trained VGG16 models, ResNet50 and EfficientNet-B7 algorithms for image preprocessing and feature extraction. Extracted features are passed to a neural network generator model to convert RGB image features …
Fraud Detection In Medical Insurance Claims Using Majority Voting Of Multiple Unsupervised Algorithms, Mohamed Ahmed Abo El-Enen, Dina Tbaishat, Ahmed T. Sahlol, Amril Nazir, Khalid Almaymun, Mustafa Abdulrazek, Reem Muhammad, Fatima Adlan, Ravishankar Sharma
Fraud Detection In Medical Insurance Claims Using Majority Voting Of Multiple Unsupervised Algorithms, Mohamed Ahmed Abo El-Enen, Dina Tbaishat, Ahmed T. Sahlol, Amril Nazir, Khalid Almaymun, Mustafa Abdulrazek, Reem Muhammad, Fatima Adlan, Ravishankar Sharma
All Works
This paper addresses the critical challenge of fraud detection in medical insurance claims, a pervasive issue causing significant financial losses in healthcare. The primary goal is to develop an advanced fraud detection approach by integrating multiple unsupervised machines learning algorithms, leveraging their collective strengths through a majority voting mechanism, where labelling of data is unavailable. Central to this approach is the ensemble of 18 novel unsupervised algorithms, specifically, anomaly detection models. The novelty lies in the majority voting system employed to aggregate the decisions from these diverse algorithms, enhancing the reliability and accuracy of fraud detection. To validate the effectiveness …
Enhancing Medication Adherence With Chronic Diseases Through Iot Technology: A Novel Approach, Nadia Dahmani, Suja A. Alex
Enhancing Medication Adherence With Chronic Diseases Through Iot Technology: A Novel Approach, Nadia Dahmani, Suja A. Alex
All Works
This paper proposes a novel IoT-based Medication Adherence System to combat the pervasive issue of non-adherence among chronic disease patients. This system leverages real-time monitoring and timely reminders to improve medication intake and, consequently, patient outcomes. We delve into the factors behind non-adherence and explore how IoT technology can empower patient education and alleviate medication anxieties. The study emphasizes the significance of proactive interventions in fostering adherence and ultimately improving health for those with chronic conditions. Advocating for a holistic approach that merges patient education, behavioral modifications, and technological advancements, this research proposes a transformative model for chronic disease management. …
Potato Leaf Disease Detection Approach Based On Transfer Learning With Spatial Attention, Rima Grati, Emna Abdallah, Khouloud Boukadi, Ahmed Smaoui
Potato Leaf Disease Detection Approach Based On Transfer Learning With Spatial Attention, Rima Grati, Emna Abdallah, Khouloud Boukadi, Ahmed Smaoui
All Works
No abstract provided.
Complex Shadowed Set Theory And Its Application In Decision-Making Problems, Doaa Alsharo, Eman Abuteen, Abd Ulazeez M.J.S. Alkouri, Mutasem Alkhasawneh, Fadi M.A. Al-Zubi
Complex Shadowed Set Theory And Its Application In Decision-Making Problems, Doaa Alsharo, Eman Abuteen, Abd Ulazeez M.J.S. Alkouri, Mutasem Alkhasawneh, Fadi M.A. Al-Zubi
All Works
Modern technology makes it easier to store datasets, but extracting and isolating useful information with its full meaning from this data is crucial and hard. Recently, several algorithms for clustering data have used complex fuzzy sets (CFS) to improve clustering performance. Thus, adding a second dimension (phase term) to the range of membership avoids the problem of losing the full meaning of complicated information during the decision-making process. In this research, the notion of the complex shadowed set (CSHS) was introduced and considered as an example of the three region approximations method simplifying processing with the support of CFS and …
Mixed Criticality Reward-Based Systems Using Resource Reservation, Amjad Ali, Shah Zeb, Madallah Alruwaili, Asad Masood Khattak, Bashir Hayat, Ki Il Kim
Mixed Criticality Reward-Based Systems Using Resource Reservation, Amjad Ali, Shah Zeb, Madallah Alruwaili, Asad Masood Khattak, Bashir Hayat, Ki Il Kim
All Works
Real-time systems mostly interact with the external world and each input operation must meet predetermined deadlines to be useful. However, in many real-time applications, a partial result is also acceptable. We developed a reward-based mixed criticality system based on the resource reservation approach to address the problem of ensuring the effective execution of low- and high-criticality tasks in both low- and high modes, even under heavy workloads. Using dedicated servers with pessimistic resource allocation for each high criticality task ensured their execution in both modes unaffected by low criticality tasks. The surplus resources are reclaimed and assigned to low critical …
Diagnostic Performance Of Ai-Based Models Versus Physicians Among Patients With Hepatocellular Carcinoma: A Systematic Review And Meta-Analysis, Feras Al-Obeidat, Wael Hafez, Muneir Gador, Nesma Ahmed, Marwa Muhammed Abdeljawad, Antesh Yadav, Asrar Rashed
Diagnostic Performance Of Ai-Based Models Versus Physicians Among Patients With Hepatocellular Carcinoma: A Systematic Review And Meta-Analysis, Feras Al-Obeidat, Wael Hafez, Muneir Gador, Nesma Ahmed, Marwa Muhammed Abdeljawad, Antesh Yadav, Asrar Rashed
All Works
Background: Hepatocellular carcinoma (HCC) is a common primary liver cancer that requires early diagnosis due to its poor prognosis. Recent advances in artificial intelligence (AI) have facilitated hepatocellular carcinoma detection using multiple AI models; however, their performance is still uncertain. Aim: This meta-analysis aimed to compare the diagnostic performance of different AI models with that of clinicians in the detection of hepatocellular carcinoma. Methods: We searched the PubMed, Scopus, Cochrane Library, and Web of Science databases for eligible studies. The R package was used to synthesize the results. The outcomes of various studies were aggregated using fixed-effect and random-effects models. …
Analysis Of Sir Model With Optimal Control Strategy For A Simple Traffic Congestion Process, Ratna Herdiana, Zani Anjani Rafsanjani, R. Heru Tjahjana, Yogi Ahmad Erlangga, Moch Fandi Ansori
Analysis Of Sir Model With Optimal Control Strategy For A Simple Traffic Congestion Process, Ratna Herdiana, Zani Anjani Rafsanjani, R. Heru Tjahjana, Yogi Ahmad Erlangga, Moch Fandi Ansori
All Works
Traffic analysis on highways at the macroscopic level is very similar to the analysis of the spread of infectious diseases, namely the susceptible-infected-recover (SIR) model. We propose the SIR model with a control variable. The dynamics with fixed control and stability of the model are analyzed. Sensitivity analysis was also carried out. Variable control is applied as an effort to regulate or change the duration of the green light at an intersection. We obtain an optimal control strategy when the control is time-dependent. Numerical results show the positive impacts of implementing the control to susceptible vehicles and treatment for congested …
Estimated Glomerular Filtration Rate Slope And Risk Of Primary And Secondary Major Adverse Cardiovascular Events And Heart Failure Hospitalization In People With Type 2 Diabetes: An Analysis Of The Exscel Trial, Abderrahim Oulhaj, Faisal Aziz, Abubaker Suliman, Kathrin Eller, Rachid Bentoumi, John B. Buse, Wael Al Mahmeed, Dirk Von Lewinski, Ruth L. Coleman, Rury R. Holman, Harald Sourij
Estimated Glomerular Filtration Rate Slope And Risk Of Primary And Secondary Major Adverse Cardiovascular Events And Heart Failure Hospitalization In People With Type 2 Diabetes: An Analysis Of The Exscel Trial, Abderrahim Oulhaj, Faisal Aziz, Abubaker Suliman, Kathrin Eller, Rachid Bentoumi, John B. Buse, Wael Al Mahmeed, Dirk Von Lewinski, Ruth L. Coleman, Rury R. Holman, Harald Sourij
All Works
Aim: The decline in estimated glomerular filtration rate (eGFR), a significant predictor of cardiovascular disease (CVD), occurs heterogeneously in people with diabetes because of various risk factors. We investigated the role of eGFR decline in predicting CVD events in people with type 2 diabetes in both primary and secondary CVD prevention settings. Materials and Methods: Bayesian joint modelling of repeated measures of eGFR and time to CVD event was applied to the Exenatide Study of Cardiovascular Event Lowering (EXSCEL) trial to examine the association between the eGFR slope and the incidence of major adverse CV event/hospitalization for heart failure (MACE/hHF) …
Revised Geologic Map And Structural Interpretation Of The Mineral King Pendant, Southern Sierra Nevada, California (Usa): Evidence For Kilometer-Scale Folding And Structural Imbrication Of A Permian To Mid-Cretaceous Volcanosedimentary Assemblage, David C. Greene, Jade Star Lackey, Erik W. Klemetti
Revised Geologic Map And Structural Interpretation Of The Mineral King Pendant, Southern Sierra Nevada, California (Usa): Evidence For Kilometer-Scale Folding And Structural Imbrication Of A Permian To Mid-Cretaceous Volcanosedimentary Assemblage, David C. Greene, Jade Star Lackey, Erik W. Klemetti
Faculty Publications
No abstract provided.
From Pollution To Resource: Advancing Swine Waste Treatment In The Usa, Viney P. Aneja, Ryke Longest, Matias B. Vanotti, Ariel A. Szogi, Gudigopuram B. Reddy
From Pollution To Resource: Advancing Swine Waste Treatment In The Usa, Viney P. Aneja, Ryke Longest, Matias B. Vanotti, Ariel A. Szogi, Gudigopuram B. Reddy
Faculty Scholarship
Concentrated animal feeding operations (CAFOs) have led to environmental challenges, specifically waste management. Swine CAFOs generate large amounts of waste, requiring proper treatment to avoid air and water pollution. Conventional waste management technologies, such as lagoon and spray field systems, do not prevent air and water pollution impacts. Research for the past few decades led to recommendations for waste treatment technologies superior to lagoons and spray fields. Private environmental sustainability initiatives focused on reducing greenhouse gas emissions in the food supply chain have implemented biogas digester projects for capturing methane in covered swine lagoons to reduce greenhouse gas emissions. However, …
Transdisciplinary Doctoral Training To Address Global Sustainability Challenges, Zoie Taylor Diana, John Virdin, Michelle B. Nowlin, Nishad Jayasundara, Daniel Rittschof
Transdisciplinary Doctoral Training To Address Global Sustainability Challenges, Zoie Taylor Diana, John Virdin, Michelle B. Nowlin, Nishad Jayasundara, Daniel Rittschof
Faculty Scholarship
No abstract provided.
Deepfakes In Court: How Judges Can Proactively Manage Alleged Ai-Generated Material In National Security Cases, Abhishek Dalal, Chongyang Gao, Paul W. Grimm, Maura R. Grossman, Daniel W. Linna Jr., Chiara Pulice, V. S. Subrahmanian, John Tunheim
Deepfakes In Court: How Judges Can Proactively Manage Alleged Ai-Generated Material In National Security Cases, Abhishek Dalal, Chongyang Gao, Paul W. Grimm, Maura R. Grossman, Daniel W. Linna Jr., Chiara Pulice, V. S. Subrahmanian, John Tunheim
Faculty Scholarship
Dall-E. ChatGPT GPT-4. Words that did not exist in the English lexicon just a few years ago are now commonplace. With the widespread availability of Artificial Intelligence (AI) tools, specifically Generative AI, whether in the context of text, audio, video, imagery, or even combinations of these, it is inevitable that trials related to national security will involve evidentiary issues raised by Generative AI. We must confront two possibilities: first, that evidence presented is AI-generated and not real and, second, that other evidence is genuine but alleged to be fabricated. Technologies designed to detect AI-generated content have proven to be unreliable, …
Evaluating Pre-Trial Programs Using Interpretable Machine Learning Matching Algorithms For Causal Inference, Travis Seale-Carlisle, Saksham Jain, Courtney Lee, Caroline Levenson, Swathi Ramprasad, Brandon Garrett, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
Evaluating Pre-Trial Programs Using Interpretable Machine Learning Matching Algorithms For Causal Inference, Travis Seale-Carlisle, Saksham Jain, Courtney Lee, Caroline Levenson, Swathi Ramprasad, Brandon Garrett, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
Faculty Scholarship
After a person is arrested and charged with a crime, they may be released on bail and required to participate in a community supervision program while awaiting trial. These ‘pretrial programs’ are common throughout the United States, but very little research has demonstrated their effectiveness. Researchers have emphasized the need for more rigorous program evaluation methods, which we introduce in this article. We describe a program evaluation pipeline that uses recent interpretable machine learning techniques for observational causal inference, and demonstrate these techniques in a study of a pre-trial program in Durham, North Carolina. Our findings show no evidence that …
Arsenic And Accountability: A Retrospective On The Arsenic-Life Controversy, Jules Lieberman
Arsenic And Accountability: A Retrospective On The Arsenic-Life Controversy, Jules Lieberman
The Synapse: Intercollegiate science magazine
No abstract provided.
Marriage: Penguins And Humans Propose | A Ritual That Transcends Gender And Species, Ann Clark
Marriage: Penguins And Humans Propose | A Ritual That Transcends Gender And Species, Ann Clark
The Synapse: Intercollegiate science magazine
No abstract provided.
From Fictional Pandemics To Potential Reality: The Realities And Myths Of 'The Last Of Us' Cordyceps Fungus, Jaedyn O'Reilly
From Fictional Pandemics To Potential Reality: The Realities And Myths Of 'The Last Of Us' Cordyceps Fungus, Jaedyn O'Reilly
The Synapse: Intercollegiate science magazine
No abstract provided.
Featured Artists: Grace Weber, Anadi Purewal-Legha, Ofek Levy
Featured Artists: Grace Weber, Anadi Purewal-Legha, Ofek Levy
The Synapse: Intercollegiate science magazine
No abstract provided.
In The Age Of Ozempic: Semiglutide's Impact On The Weight-Loss Frontier, Luke Dodson
In The Age Of Ozempic: Semiglutide's Impact On The Weight-Loss Frontier, Luke Dodson
The Synapse: Intercollegiate science magazine
No abstract provided.
Resourceful Remedies: Herbal Medicines In Indigenous Villages Of Northern Thailand, Ava Peyton
Resourceful Remedies: Herbal Medicines In Indigenous Villages Of Northern Thailand, Ava Peyton
The Synapse: Intercollegiate science magazine
No abstract provided.
Navigating Digital Neurodiversity: Understanding The Intersection Of Neurodiversity And Technology For Personal Wellbeing, Haze Doleys
The Synapse: Intercollegiate science magazine
No abstract provided.
Learning To Learn: The Neuroscience Of Affective Learning, Emma Barnard
Learning To Learn: The Neuroscience Of Affective Learning, Emma Barnard
The Synapse: Intercollegiate science magazine
No abstract provided.
Materials And Methods In Squid Dissolution, Isabel Hardwig
Materials And Methods In Squid Dissolution, Isabel Hardwig
The Synapse: Intercollegiate science magazine
No abstract provided.
In The Shadow Of The Moon: Reflections On The April 2024 Total Solar, Danielle Oliver
In The Shadow Of The Moon: Reflections On The April 2024 Total Solar, Danielle Oliver
The Synapse: Intercollegiate science magazine
No abstract provided.
Exploring The Neural Jungle: The Positive Effects Of Hallucinogens On The Brain, Izzie Braun
Exploring The Neural Jungle: The Positive Effects Of Hallucinogens On The Brain, Izzie Braun
The Synapse: Intercollegiate science magazine
No abstract provided.
The Synapse Crossword
The Synapse: Intercollegiate science magazine
No abstract provided.
Don’T Touch My Memories! Turning Fake Stories Into Real Memories, Zeynep Kaya
Don’T Touch My Memories! Turning Fake Stories Into Real Memories, Zeynep Kaya
The Synapse: Intercollegiate science magazine
No abstract provided.