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Articles 301 - 330 of 6633
Full-Text Articles in Entire DC Network
Divergent Responses Of Highly Migratory Species To Climate Change In The California Current, Nerea Lezama-Ochoa, Stephanie Brodie, Heather Welch, Michael G. Jacox, Mercedes Pozo Buil, Jerome Fiechter, Megan Cimino, Barbara Muhling, Heidi Dewar, Elizabeth A. Becker, Karin A. Forney, Daniel Costa, Scott R. Benson, Nima Farchadi, Camrin Braun, Rebecca Lewison, Steven Bograd, Elliott L. Hazen
Divergent Responses Of Highly Migratory Species To Climate Change In The California Current, Nerea Lezama-Ochoa, Stephanie Brodie, Heather Welch, Michael G. Jacox, Mercedes Pozo Buil, Jerome Fiechter, Megan Cimino, Barbara Muhling, Heidi Dewar, Elizabeth A. Becker, Karin A. Forney, Daniel Costa, Scott R. Benson, Nima Farchadi, Camrin Braun, Rebecca Lewison, Steven Bograd, Elliott L. Hazen
Faculty Research, Scholarly, and Creative Activity
Aim: Marine biodiversity faces unprecedented threats from anthropogenic climate change. Ecosystem responses to climate change have exhibited substantial variability in the direction and magnitude of redistribution, posing challenges for developing effective climate-adaptive marine management strategies. Location: The California Current Ecosystem (CCE), USA. Methods: We project suitable habitat for 10 highly migratory species in the California Current System using an ensemble of three high-resolution (~10 km) downscaled ocean projections under the Representative Concentration Pathway 8.5 (RCP8.5). Spanning the period from 1980 to 2100, our analysis focuses on assessing the direction and distance of distributional shifts, as well as changes in core …
Spartan Daily, January 31, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, January 31, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2024
Volume 162, Issue 3
[Review Of] Maria W. Stewart And The Roots Of Black Political Thought, By Kristin Waters, Jennifer Rycenga
[Review Of] Maria W. Stewart And The Roots Of Black Political Thought, By Kristin Waters, Jennifer Rycenga
Faculty Research, Scholarly, and Creative Activity
No abstract provided.
Habitat Characterization Of American Badgers (Taxidea Taxus) Of Northern California, Mitchell Victoria
Habitat Characterization Of American Badgers (Taxidea Taxus) Of Northern California, Mitchell Victoria
Master's Theses
American badgers (Taxidea taxus) are a semi fossorial mammal that lives in grassland and open prairie ecosystems as well as coastal prairies, agricultural fields, deserts, and deforested habitats. Many researchers have published work on badgers, but we still require more information on their ecology. The American badger is a semi fossorial, solitary, predatory mammal of grassland ecosystems. They are classified as mesopredators when compared to larger apex predators such as brown bears, wolves, and pumas. However, when larger carnivores are absent, Badgers become apex predators of their ecosystems. Los Vaqueros Watershed in Brentwood, California, was my study site because badgers …
Determining Best Diet And Temperature Regime Of Monkeyface Pricklebacks (Cebidichthys Violaceus) For Aquaculture, Luke C. Townsend
Determining Best Diet And Temperature Regime Of Monkeyface Pricklebacks (Cebidichthys Violaceus) For Aquaculture, Luke C. Townsend
Master's Theses
Wild freshwater eel populations are threatened due to overfishing and habitat degradation. Attempts to use aquaculture to close the eel life cycle have yet to be commercially adapted, owing largely to their complex lifecycle. Monkeyface pricklebacks (Cebidichthys violaceus) are intertidal fish that may serve as an alternative species for freshwater eels in aquaculture, as they possess several beneficial characteristics. This study aimed to optimize diet and culture temperatures to maximize monkeyface prickleback cultures by measuring growth, condition, metabolic rates, fillet composition, and critical thermal maximum (CTmax) of juvenile fish that were reared in two separate experiments: (1) on four different …
Xun Zi On Desiring To Be Good: Desire As The Necessary Condition For The Transformation Of Nature, Angel Ting
Xun Zi On Desiring To Be Good: Desire As The Necessary Condition For The Transformation Of Nature, Angel Ting
Comparative Philosophy
There are various discussions on the role of desires in the Xun-Zi and how the transformation of nature takes place. Some scholars hold that the heart-mind can override inborn human desires, a view that is analogous to externalism; others maintain the internalism view that desires are essentially motivating in the Xun-Zi. This paper aims to resolve this seeming conflict between externalism and internalism. By introducing David B. Wong's model of being an internalist about duty and an externalist about reason, I will show that desires in the Xun-Zi are necessarily motivating because of their direction of fit, and …
Golden Rule Ethics And Complementary Learning Process With The Other: From Confucius’ And Christian Approaches To Hatatas’ Approach, Fasil Merawi
Comparative Philosophy
Through the development of a comparative analysis that explores the conceptions of the Golden Rule that are expressed in the teachings of Confucius, Christianity and the Hatatas, the article shows that the combined insights that emerge from these three teachings have a contemporary significance in the attempt to develop a complementary learning process with the Other. Throughout its variations, the Golden Rule is grounded on the need to treat others as how we want to be treated. Such a moral vision occupies a central importance in Confucius’s ren, Christianity’s Gospel of Matthew and the commandments, and the Hatatas’ principle of …
Intersecting Perspectives: A Comparative Dialogue On Respect In Confucian And Western Philosophies, Chuan Chih Hsu, Antonio Calderón, Chia Shih Su
Intersecting Perspectives: A Comparative Dialogue On Respect In Confucian And Western Philosophies, Chuan Chih Hsu, Antonio Calderón, Chia Shih Su
Comparative Philosophy
Present study analyzes the concept of respect in both Confucius' and Western philosophical traditions. It reveals the differences in interpretation and practice of respect due to their distinctive cultural, historical, and philosophical contexts. Confucius' philosophy emphasizes respect towards authority, traditions, and the elderly through dedication and commitment, while Western philosophy, primarily Aristotle's perspective, emphasizes reciprocal respect and the inherent rights of individuals. Both systems of thought, although contrasting, seek to promote values fostering cooperation, understanding, and peaceful coexistence. Despite their varied conceptualizations of respect, the ultimate goal remains the same – to provide ethical and moral guidance for a harmonious …
The Hand Of Thought: A Cross-Tradition Examination Of Kosho Uchiyama And Martin Heidegger, Gregory Burgin
The Hand Of Thought: A Cross-Tradition Examination Of Kosho Uchiyama And Martin Heidegger, Gregory Burgin
Comparative Philosophy
This paper presents how the Sōtō Zen priest, Kōshō Uchiyama, and the mercurial and polarizing German philosopher, Martin Heidegger, approach what the former calls “opening the hand of thought” (omoi no te banashi). For Uchiyama, the metaphoric opening of our mental hand requires the meditative practice of zazen or “just sitting” (shikantaza) and is said to mean that we avoid the act of thinking. Conversely, Heidegger maintains that the “releasement” (Gelassenheit) of our conceptual grasp is the basis of a more essential and “meditative” mode of thinking and discourse (besinnliches Denken). While Uchiyama and Heidegger appear to be at odds, …
The Impact Of Video Game Play On Attention And Perception, Krish Pradhan
The Impact Of Video Game Play On Attention And Perception, Krish Pradhan
Master's Theses
Past research shows that individuals who play action video games have stronger attentional resources. However, the role of expertise and player experience is yet to be operationalized in cognitive video game research. This thesis aimed to discover if there is a systematic relationship between video game expertise, specifically percentile-based ranks and actual hours played, on perception and attentional skills. Percentile-based rankings were used as a new, objective measure of expertise that accounts for an individual's skill level relative to all other players of the same game. The number of weekly hours played was gathered from the participants and divided into …
Use Of A California Wetland: Harbor Seal (Phoca Vitulina) Haul-Out Patterns In Elkhorn Slough, Emma Nicholson
Use Of A California Wetland: Harbor Seal (Phoca Vitulina) Haul-Out Patterns In Elkhorn Slough, Emma Nicholson
Master's Theses
This project investigated small-scale habitat use patterns of harbor seals (Phoca vitulina). The goals were to provide an updated overview of the harbor seal population in Elkhorn Slough, California, USA, identify haul-out areas that are seasonally relevant for pupping and molting, and analyze environmental factors that may influence the harbor seals’ abundance and distribution in the slough. Seal counts were conducted by Elkhorn Slough volunteers throughout the entire slough June 2020-May 2023. Additional survey data at the 5 most populated haul-out sites were collected by volunteers from MLML April 2022-May 2023. A comparison to harbor seal abundance data from 1991-1992 …
Evaluating A Microalga (Schizochytrium Sp.) As An Alternative To Fish Oil In Fish-Free Feeds For Sablefish (Anoplopoma Fimbria), Katherine A. Neylan, Ronald B. Johnson, Frederic T. Barrows, David P. Marancik, Scott L. Hamilton, Luke D. Gardner
Evaluating A Microalga (Schizochytrium Sp.) As An Alternative To Fish Oil In Fish-Free Feeds For Sablefish (Anoplopoma Fimbria), Katherine A. Neylan, Ronald B. Johnson, Frederic T. Barrows, David P. Marancik, Scott L. Hamilton, Luke D. Gardner
Faculty Research, Scholarly, and Creative Activity
Alternative feeds are critical for the sustainable expansion of the marine finfish aquaculture industry. The industry uses wild-caught forage fish as a primary ingredient in farmed fish feeds. Alternative ingredients are needed to safeguard fisheries' sustainability and future aquaculture development. While there have been successes in alternative feeds, it is necessary to improve the existing options and identify alternative ingredients with higher concentrations of omega-3 polyunsaturated fatty acids (PUFAs). This study was designed to test a microalga, Schizochytrium sp., as a feed ingredient for sablefish (Anoplopoma fimbria) using six test diets. There were two fish-ingredient control diets: +FM+FO, which contained …
Unrealvision: A Synthetic Dataset Generator For Human-Pose Estimation And Behavior Analysis, Thinh Lu
Unrealvision: A Synthetic Dataset Generator For Human-Pose Estimation And Behavior Analysis, Thinh Lu
Master's Theses
For over a decade, computer vision (CV) has become an indispensable component of numerous camera surveillance applications as well as intelligent autonomous systems. Thanks to new advances in AI, Edge Computing, and IoT technologies, there is now a rapidly growing number of smart camera devices, industrial and consumer robots that are using computer vision for various applications - from human tracking and analysis, object classification, to visual inspection and anomaly detection. For most common use cases, building vision-based applications can be a straightforward and affordable task thanks to the increasing number of publicly accessible datasets and research publications. However, it …
Temporal Changes In The Surface Chemistry And Topography Of Reactive Ion Plasma-Treated Poly(Vinyl Alcohol) Alter Endothelialization Potential, Ryan A. Faase, Novella M. Keeling, Justin S. Plaut, Christian Leycam, Gabriela Acevedo Munares, Monica T. Hinds, Joe E. Baio, Patrick L. Jurney
Temporal Changes In The Surface Chemistry And Topography Of Reactive Ion Plasma-Treated Poly(Vinyl Alcohol) Alter Endothelialization Potential, Ryan A. Faase, Novella M. Keeling, Justin S. Plaut, Christian Leycam, Gabriela Acevedo Munares, Monica T. Hinds, Joe E. Baio, Patrick L. Jurney
Faculty Research, Scholarly, and Creative Activity
Synthetic small-diameter vascular grafts (<6 mm) are used in the treatment of cardiovascular diseases, including coronary artery disease, but fail much more readily than similar grafts made from autologous vascular tissue. A promising approach to improve the patency rates of synthetic vascular grafts is to promote the adhesion of endothelial cells to the luminal surface of the graft. In this study, we characterized the surface chemical and topographic changes imparted on poly(vinyl alcohol) (PVA), an emerging hydrogel vascular graft material, after exposure to various reactive ion plasma (RIP) surface treatments, how these changes dissipate after storage in a sealed environment at standard temperature and pressure, and the effect of these changes on the adhesion of endothelial colony-forming cells (ECFCs). We showed that RIP treatments including O2, N2, or Ar at two radiofrequency powers, 50 and 100 W, improved ECFC adhesion compared to untreated PVA and to different degrees for each RIP treatment, but that the topographic and chemical changes responsible for the increased cell affinity dissipate in samples treated and allowed to age for 230 days. We characterized the effect of aging on RIP-treated PVA using an assay to quantify ECFCs on RIP-treated PVA 48 h after seeding, atomic force microscopy to probe surface topography, scanning electron microscopy to visualize surface modifications, and X-ray photoelectron spectroscopy to investigate surface chemistry. Our results show that after treatment at higher RF powers, the surface exhibits increased roughness and greater levels of charged nitrogen species across all precursor gases and that these surface modifications are beneficial for the attachment of ECFCs. This study is important for our understanding of the stability of surface modifications used to promote the adhesion of vascular cells such as ECFCs.
Sjsu Erfa News, Winter 2024, San Jose State University, Emeritus And Retired Faculty Association
Sjsu Erfa News, Winter 2024, San Jose State University, Emeritus And Retired Faculty Association
Emeritus and Retired Faculty Association (ERFA) Newsletter
Volume 38, No. 2
Gesture Recognition Dynamics: Unveiling Video Patterns With Deep Learning, Nithish Reddy Agumamidi
Gesture Recognition Dynamics: Unveiling Video Patterns With Deep Learning, Nithish Reddy Agumamidi
Master's Projects
This paper, Gesture Recognition Dynamics: Revealing Video Patterns with Deep Learning, explores the combination of Long Short-Term Memory(LSTM) with Convolutional Neural Network(CNN) in the identification of convoluted human activities. The study assesses LSTM’s capability to capture temporal dependencies and CNN’s potential to apprehend and extract spatial characteristics to detect the gestures from UCF50. It further evaluates the architecture linkage of LSTM and CNN, which will improve the analytical capacity to interpret and validate dynamic gesture trends. The paper utilizes Mediapipe, an open-source framework created by Google specifically designed for extracting poses. The Mediapipe tool is well-designed to track important body …
Image Segmentation By Convolutional Neural Networks In Coral Resilience Research, Jennifer Benbow
Image Segmentation By Convolutional Neural Networks In Coral Resilience Research, Jennifer Benbow
Master's Projects
As ocean temperatures rise, coral bleaching is becoming more frequent and severe. Selective breeding experiments show promise for enhancing coral resilience, but scaling these projects is hindered by the labor-intensive nature of taking numerous time series measurements as corals grow. Automating this process with computer vision is one solution to this bottleneck, and to our knowledge, no such tool exists at present. To fill this gap, we have trained a set of machine learning models, based on the Mask R-CNN framework, for segmenting juvenile corals in lab-based coral resilience research. This work shows that retraining the Mask R-CNN architecture through …
Personalizing Image Generation From Prompts Using Generative Ai, Mit Ramesh Jain
Personalizing Image Generation From Prompts Using Generative Ai, Mit Ramesh Jain
Master's Projects
The rapid advancements in Generative AI, particularly Text-to-Image (T2I) models, have opened up new possibilities for personalized image generation. Finetuning large T2I models for specific downstream tasks is a key approach to achieving tailored outputs. In recent years, Parameter-Efficient Fine-Tuning (PEFT) techniques have gained significant attention as a cost-effective and efficient solution for fine-tuning large models. Initially developed for fine-tuning large language models (LLMs), PEFT techniques have been extensively studied and compared in the context of language tasks. However, regarding the T2I domain, there is a lack of similarly exhaustive and detailed literature on PEFT. This research project, in the …
Optimizing Web Design Code Generation: A Comparative Study Of Finetuning, Pretrained Models, And Rag (Retrieval Augmented Generation), Srinivas Rao Chavan
Optimizing Web Design Code Generation: A Comparative Study Of Finetuning, Pretrained Models, And Rag (Retrieval Augmented Generation), Srinivas Rao Chavan
Master's Projects
Website Creation is revolutionized by automated code generation, reducing the development effort, speeding the production process, and ensuring consistency in design. Automated web design code generation has emerged as a transformative tool bridging the gap between design and development. In this research, a website design tool is developed and used to create visual layouts, exporting them as JSON designs. These JSON outputs were then transformed into textual prompts, optimized using established HCI principles and UI/UX rules to ensure consistency, visual hierarchy, aesthetics and minimalistic design, accessibility, user-friendly navigation and flexibility. These generated prompts were fed into large language models for …
Is Knowledge Management (Finally) Extractive? – Fuller’S Argument Revisited In The Age Of Ai, Norman Mooradian
Is Knowledge Management (Finally) Extractive? – Fuller’S Argument Revisited In The Age Of Ai, Norman Mooradian
Faculty Research, Scholarly, and Creative Activity
Aim/Purpose The rise of modern artificial intelligence (AI), in particular, machine learning (ML), has provided new opportunities and directions for knowledge management (KM). A central question for the future of KM is whether it will be dominated by an automation strategy that replaces knowledge work or whether it will support a knowledge-enablement strategy that enhances knowledge work and uplifts knowledge workers. This paper addresses this question by re-examining and updating a critical argument against KM by the sociologist of science Steve Fuller (2002), who held that KM was extractive and exploitative from its origins. Background This paper re-examines Fuller’s argument …
Mitigating Risk: Predicting H5n1 Avian Influenza Spread With An Empirical Model Of Bird Movement, Fiona Mcduie, Cory T. Overton, Austen A. Lorenz, Elliott L. Matchett, Andrea L. Mott, Desmond A. Mackell, Joshua T. Ackerman, Susan E.W. De La Cruz, Vijay P. Patil, Diann J. Prosser, John Y. Takekawa, Dennis L. Orthmeyer, Maurice E. Pitesky, Samuel L. Díaz-Muñoz, Brock M. Riggs, Joseph Gendreau, Eric T. Reed, Mark J. Petrie, Chris K. Williams
Mitigating Risk: Predicting H5n1 Avian Influenza Spread With An Empirical Model Of Bird Movement, Fiona Mcduie, Cory T. Overton, Austen A. Lorenz, Elliott L. Matchett, Andrea L. Mott, Desmond A. Mackell, Joshua T. Ackerman, Susan E.W. De La Cruz, Vijay P. Patil, Diann J. Prosser, John Y. Takekawa, Dennis L. Orthmeyer, Maurice E. Pitesky, Samuel L. Díaz-Muñoz, Brock M. Riggs, Joseph Gendreau, Eric T. Reed, Mark J. Petrie, Chris K. Williams
Faculty Research, Scholarly, and Creative Activity
Understanding timing and distribution of virus spread is critical to global commercial and wildlife biosecurity management. A highly pathogenic avian influenza virus (HPAIv) global panzootic, affecting 600 bird and mammal species globally and over 83 million birds across North America (December 2023), poses a serious global threat to animals and public health. We combined a large, long-term waterfowl GPS tracking dataset (16 species) with on-ground disease surveillance data (county-level HPAIv detections) to create a novel empirical model that evaluated spatiotemporal exposure and predicted future spread and potential arrival of HPAIv via GPS tracked migratory waterfowl through 2022. Our model was …
Comparison Of Different Drought Monitoring Indices In Different Climatic Conditions In Iran, Samira Rahnama, Ali Shahidi, Mostafa Yaghoobzadeh, Ali Akbar Mehran
Comparison Of Different Drought Monitoring Indices In Different Climatic Conditions In Iran, Samira Rahnama, Ali Shahidi, Mostafa Yaghoobzadeh, Ali Akbar Mehran
Faculty Research, Scholarly, and Creative Activity
This study evaluates drought in different climate zones (Rasht, Shiraz, and Birjand) in Iran, using meteorological, agricultural, and remote sensing drought indices. For this purpose, NDVI, SAVI, and SR were extracted from Landsat images for 2002 and 2014–2020. Then, these indices were compared with the SPI, SPEI, and PDSI. The results indicate an increase in drought and a decrease in vegetation cover in the study area. In Rasht, where the vegetation cover is high, NDVI and SAVI were equal. In Shiraz and Birjand, where the soil effect is more significant, the distance between these two indices increased, which shows that …
Opening The Black Box: Carbon-Footprint Calculators, Meat Consumption, And The “Wicked Problem” Of Metric Governance, E. Melanie Dupuis, Dustin Mulvaney
Opening The Black Box: Carbon-Footprint Calculators, Meat Consumption, And The “Wicked Problem” Of Metric Governance, E. Melanie Dupuis, Dustin Mulvaney
Faculty Research, Scholarly, and Creative Activity
Carbon-footprint calculators are widely used as communication and education tools, designed to make people aware of the ways their personal actions contribute to greenhouse-gas emissions. However, they have come under criticism for emphasizing individual behavior versus structural change. We extend this critique to argue that carbon-footprint calculators are a form of “metric governance” that not only disciplines users but also constrains their abilities to engage with the complexities of climate change and social action. We focus on a particularly wicked problem of carbon-metric governance: livestock greenhouse-gas emissions. We show that carbon-footprint calculators black box and fix the complex politics and …
Sample Sizes For 10 Types Of Qualitative Data Analysis: An Integrative Review, Empirical Guidance, And Next Steps, Amber Wutich, Melissa Beresford, H. Russell Bernard
Sample Sizes For 10 Types Of Qualitative Data Analysis: An Integrative Review, Empirical Guidance, And Next Steps, Amber Wutich, Melissa Beresford, H. Russell Bernard
Faculty Research, Scholarly, and Creative Activity
There has been a recent explosion of articles on minimum sample sizes needed for analyzing qualitative data. The purpose of this integrated review is to examine this literature for 10 types of qualitative data analysis (5 types of saturation and 5 common methods). Building on established reviews and expanding to new methods, our findings extract the following sample size guidelines: theme saturation (9 interviews; 4 focus groups), meaning saturation (24 interviews; 8 focus groups), theoretical saturation (20–30+ interviews), metatheme saturation (20–40 interviews per site), and saturation in salience (10 exhaustive free lists); two methods where power analysis determines sample size: …
The Role Of Nature As A Protective Factor In Father-Child Relationships, Sarah J. Barker
The Role Of Nature As A Protective Factor In Father-Child Relationships, Sarah J. Barker
Master's Theses
The present study strived to understand how fathers spend time with their children outdoors and how this shared time together may positively influence their relationship within the Family-Based Nature Activities Theoretical Framework. The objectives of this thesis are to understand more about (a) Why fathers participate in outdoor activities with their children; and (b) How spending time outdoors with their children influences their relationship. Participants included 26 fathers (M=40.6 years old) and their children between the ages of 5-12 years old. All urban fathers resided on the West Coast, while rural fathers lived in the southeast United States. Participants were …
Integrating Chatgpt With A-Frame For User-Driven 3d Modeling, Ivan Hernandez
Integrating Chatgpt With A-Frame For User-Driven 3d Modeling, Ivan Hernandez
Master's Projects
ChatGPT is a large language model that is capable of creating conversational text and functional code that can be integrated into various technologies, including computer graphics software. Currently, 3D modeling applications can be relatively difficult for novices to learn and understand due to the overwhelming amount of graphical user interfaces. However, we can remedy this issue by leveraging ChatGPT’s conversational language capabilities. Our project described in this report integrates ChatGPT with A-Frame, an online framework for developing virtual reality experiences, to create an immersive and user-friendly 3D modeling environment where users can create and modify 3D models through natural language …
Noteblocklib: A Library For Physics- And Animation-Driven Virtual Midi Instruments For Use In Video Games, Kevin Rotunni
Noteblocklib: A Library For Physics- And Animation-Driven Virtual Midi Instruments For Use In Video Games, Kevin Rotunni
Master's Projects
To better capture the relationship between the performer of a piece of music and the music itself in a video game context, I have designed NoteBlockLib, a system by which MIDI instructions are generated and processed in real time based on the motion and collision data of in-game objects. Ultimately, the movement of instruments made using this system would be driven by the animations of a character in the game. This system would thus allow the player character to interact with the performer in the game without sacrificing the relationship between the performer’s actions and the resulting music or to …
Birdsong Classification Using Deep Learning And Mixit, Sasanka Kosuru
Birdsong Classification Using Deep Learning And Mixit, Sasanka Kosuru
Master's Projects
The identification of bird species using deep learning techniques presents a novel approach in bioacoustics, by significantly advancing our understanding and enhancing our capabilities in bird species recognition from audio recordings. The value of audio over visual data for monitoring ecological patterns in birds can be highlighted with the deployment of automated recording devices in remote wildlife sensing, offering a more cost-effective, non-invasive, and practical solution. However, the methods of processing and classifying the audio remain challenging due to the complexity of bird audio, characterized by diverse vocalizations and imminent environmental noise, which poses difficult challenges to perform effective classification. …
Influence Maximization Using Triadic Closures, Communities, And Quotas, Matthew Fu
Influence Maximization Using Triadic Closures, Communities, And Quotas, Matthew Fu
Master's Projects
Online social networks have exploded in popularity in the last decade. In addition, traditional advertising methods such as television advertising have greatly decreased. This allows companies to utilize viral marketing more effectively. With viral marketing, companies can spread information on a product to a social network by reaching out to a small group of early adopters, who will go on to inform the people around them of the product. The problem is selecting the early adopters that can maximize the spread of influence. The Influence Maximization (IM) problem is finding a social network’s most influential (early adopters) starting nodes, called …
Deciphering Speech Through Vision: A Deep Learning Lip Reading System, Srujith Rao Ambati
Deciphering Speech Through Vision: A Deep Learning Lip Reading System, Srujith Rao Ambati
Master's Projects
Lip-reading, a ubiquitous field between computer vision and speech processing, focuses on identifying what spoken words a person generates depending on their uttering lip movements. This paper presents a streamlined lip-reading solution that employs machine learning and deep learning. First, Our work utilizes the Multi-Task Cascaded Convo- lutional Networks to detect facial “landmarks,” including the face and lips region, and the aligns the face. The aligned faces are segmented to get the lip images. Lip images are preprocessed using the Real-Enhanced Super Resolution Generative Adversarial Network to enhance image resolution to identify subtle lip movement in video images: a critical …