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Articles 241 - 270 of 11653
Full-Text Articles in Entire DC Network
Parameter-Efficient Multimodal Adaptation: Ocr-Integrated Lora For Textvqa And Captioning, Karthik Ganesh Malini
Parameter-Efficient Multimodal Adaptation: Ocr-Integrated Lora For Textvqa And Captioning, Karthik Ganesh Malini
Master's Theses
Vision-Language Models (VLMs) have emerged as transformative technologies for multimodal AI, yet they face significant hurdles in processing text-rich images required for enterprise applications like document understanding, medical imaging, and industrial inspection. Current VLMs struggle with accurate text extraction and reasoning, often exhibiting high hallucination rates and poor Optical Character Recognition (OCR) token utilization. To address these limitations, this research presents a comprehensive framework for optimizing parameter-efficient Low-Rank Adaptation (LoRA) fine-tuning strategies on state-of-the-art architectures, including LLaVA-1.5 and BLIVA-FlanT5. Our methodology integrates enhanced OCR token utilization, faithful caption generation, and specific hallucination mitigation techniques. We employ a multi-dimensional evaluation protocol …
A Functional Mri Meta-Analysis Encoding In Alzheimer’S Disease, Joanne Ha
A Functional Mri Meta-Analysis Encoding In Alzheimer’S Disease, Joanne Ha
Master's Theses
Alzheimer’s disease (AD) is the most common form of dementia and is characterized by episodic memory impairment. Numerous functional magnetic resonance imaging (fMRI) studies have examined brain activity differences between individuals with AD and age-matched controls during memory encoding. However, small sample sizes and methodological variability across studies have limited the ability to draw meaningful conclusions regarding brain activity underlying encoding impairments. We conducted a meta-analysis to identify consistent patterns of hyperactivity and hypoactivity in AD during episodic memory encoding. Using PubMed to identify studies that met our inclusion criteria, 1,002 studies were screened; ultimately, seven studies were included in …
Spartan Daily, December 4, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, December 4, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 42
Building A Data-Driven Security Ai Framework Using Machine Learning Models, Christopher Chan Vi
Building A Data-Driven Security Ai Framework Using Machine Learning Models, Christopher Chan Vi
Master's Theses
This research project explores a modern approach to Intrusion Detection System (IDS) anomaly detection by leveraging Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLM), and Explainable AI (XAI). The purpose is to assess the effectiveness of these technologies in enhancing the understanding of intrusion events. This research study addresses the challenges of threshold determination and the interpretability of anomaly detection results. The proposed solution involves an LLM-based framework with XAI capabilities, integrated with a Retrieval Augmented Generation (RAG) architecture, to provide clear explanations for detected anomalies, utilizing both custom and pre-trained datasets. The study navigated inherent challenges, including …
Spartan Daily, December 03, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, December 03, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 41
Spartan Daily, December 2, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, December 2, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 40
An Assessment Of The Viva Callesj September 2025 Event In San José, Richard Kos, Adam Cohen
An Assessment Of The Viva Callesj September 2025 Event In San José, Richard Kos, Adam Cohen
Mineta Transportation Institute
Viva CalleSJ is an open-streets initiative where several miles of the City of San José’s streets are closed to vehicular traffic, allowing residents to walk, bike, scooter, and skate freely. This report evaluates the Viva CalleSJ event held in San José on September 7, 2025, which attracted more than 150,000 participants. Using a mixed-methods approach, this evaluation examines aspects such as attendance, activities, modal access, and economic impacts, utilizing data from participant surveys (in English, Spanish, and Vietnamese), interviews, and observational analysis. The findings indicate that the Viva CalleSJ September 2025 event was largely successful in achieving its objectives, including …
What Do Americans Think About Federal Tax Options To Support Transportation? Results From Year Sixteen Of A National Survey, Asha Weinstein Agrawal, Hilary Nixon
What Do Americans Think About Federal Tax Options To Support Transportation? Results From Year Sixteen Of A National Survey, Asha Weinstein Agrawal, Hilary Nixon
Mineta Transportation Institute
This report summarizes the results from the sixteenth year of a national public opinion survey asking U.S. adults questions related to their views on federal transportation taxes. A nationally representative sample of 2,539 respondents completed the online survey from February 3 to February 27, 2025. The questions test public opinions about raising the federal gas tax rate, replacing the federal gas tax with a new mileage fee, and imposing a mileage fee just on commercial travel. In addition to asking directly about support for these tax options, the survey collected data on respondents’ views on the quality of their local …
Performance And Interpretability Analysis Of Code Generation Large Language Models, Vishnu S. Pendyala, Neha B. Thakur
Performance And Interpretability Analysis Of Code Generation Large Language Models, Vishnu S. Pendyala, Neha B. Thakur
Faculty Research, Scholarly, and Creative Activity
As Large Language Models (LLMs) are increasingly getting integrated into software development workflows, understanding their reliability, error patterns and interpretability in real-world development scenarios is crucial for establishing their practical utility. This study evaluates and interprets the performance of 15 open-source LLM models, including Code LLaMa, Granite Code, DeepSeek-Coder-V2, and Yi-Coder on code translation and generation from requirements using the Rosetta Code dataset across diverse programming languages and tasks. Syntactic correctness and code quality are quantified using metrics such as CodeBLEU, chrF, and METEOR. Interpretability is explored through Feature Ablation and Shapley Value Sampling to elucidate prompt processing mechanisms. Results …
Topographic And Upwelling Effects On Surface Lagrangian Coherent Structures Of Cape Mendocino, Basil Martin Darby
Topographic And Upwelling Effects On Surface Lagrangian Coherent Structures Of Cape Mendocino, Basil Martin Darby
Master's Theses
The goal of this study is to investigate fine-scale Lagrangian coherent structure (LCS) generation in a coastal upwelling setting with prominent topography using a high-resolution global-ocean circulation model (LLC4320). I examine LCS properties, spatiotemporal evolution and vertical structure, as well as possible connections to submesoscale variability and chlorophyll. The LLC4320 simulation in the Cape Mendocino region is evaluated using high-resolution satellite and other ocean observations. Additionally, this study uses a novel dynamical systems technique by relating the LCS of flow fields to the physical dynamics of the mesoscale-to-submesesoscale transition. It is found that time series of short timescale LCS yield …
Retrieval Augmented Framework For Deepfake Audio Detection, Avinash Saxena
Retrieval Augmented Framework For Deepfake Audio Detection, Avinash Saxena
Master's Theses
The widespread use of AI-based audio deepfakes threatens severely to undermine media integrity and public trust. Speech synthesis techniques have improved dramatically in voice conversion (VC) and text-to-speech (TTS) in recent years, making forgeries sound highly realistic, and concerns are raised about possible malevolent uses. Existing state-of-the-art techniques for identifying fake speech have proven to be effective in some cases but are still limited in application and robustness when faced with novel attacking strategies, different acoustic conditions, or alternative linguistic domains. To address some of these limitations, the current research presents a novel deepfake audio detection system based on personalized …
Digital Neuropsychology And Social Anxiety: The Effect Of Observer Presence And Personality On Stress And Cognition, Ava M. Dixon
Digital Neuropsychology And Social Anxiety: The Effect Of Observer Presence And Personality On Stress And Cognition, Ava M. Dixon
Master's Theses
This study examined how observer presence and social anxiety influence stress and cognitive performance during neuropsychological assessments, focusing on the potential benefits of unsupervised digital testing environments. Eighty university students were randomly assigned to observed or unobserved digital neuropsychological conditions and completed assessments of social cognition and executive functioning and questionnaires of social anxiety and personality. Participants also completed measures of state anxiety and heart rate variability at baseline and after cognitive tests. The findings indicated that observation led to higher subjective anxiety, but it did not produce significant interactions with social anxiety on stress or cognitive performance. Post-hoc analyses …
Reclaiming Relational Pedagogies: The Role Of Talking Circles In Decolonizing Higher Education Classrooms, Veneice Lacy
Reclaiming Relational Pedagogies: The Role Of Talking Circles In Decolonizing Higher Education Classrooms, Veneice Lacy
Faculty Research, Scholarly, and Creative Activity
This article explores the use of Talking Circles as a decolonizing pedagogical practice within higher education, grounded in Indigenous epistemologies and relational worldviews. Drawing on the works of Indigenous scholars such as Graveline, Wilson, Archibald, and Simpson, the article positions Talking Circles not merely as instructional strategies but as ceremonial, spirit-centered pedagogies that resist the Eurocentric hierarchical and individualistic norms of Western academia. Through autoethnographic reflection and student narratives from undergraduate and graduate education courses, the article demonstrates how Talking Circles foster relational accountability, ethical engagement, and transformative learning. By centering oral tradition, reciprocity, and communal learning, Talking Circles reconfigure …
Spartan Daily, November 25, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, November 25, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 39
Spartan Daily, November 20, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, November 20, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 38
An Exploration Of Image Segmentation Techniques For Real-Time Product Detection, Andrew C. Dunton
An Exploration Of Image Segmentation Techniques For Real-Time Product Detection, Andrew C. Dunton
Master's Theses
Recent progress in LLMs enables advanced multimodal understanding, but their high computational cost necessitates monetization strategies like interactive advertising. While bounding boxes show promise for this concept, they can lack precision and visual appeal. Image segmentation offers a superior solution but faces a dual problem: traditional models demand scarce, costly training data, and open-vocabulary segmentation models like SAM are class-agnostic, unable to semantically identify a "consumer product" object class. In this research, we address these limitations by: 1) developing the Prompt-Guided Inpainting Framework (PGIF), which injects negative prompts to generate robustly annotated synthetic segmented product images; 2) investigating the Class-Agnostic …
Spartan Daily, November 19, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, November 19, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 37
Spartan Daily, November 18, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, November 18, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 36
Radiation Hardness Study Of Finfet And Gate-All-Around Fet Sram, Albert Lu
Radiation Hardness Study Of Finfet And Gate-All-Around Fet Sram, Albert Lu
Master's Theses
Radiation, such as alpha particles or neutrons, is hard to control and can come from sources such as trace impurities or cosmic rays from space. These can then strike a semiconductor device, such as a Static Random Access Memory (SRAM) cell, and cause the SRAM to have its bit flipped. This bit flip is often just a temporary effect and is thus called a single event upset (SEU). Although it is temporary, a bit flip can cause severe consequences, such as affecting program functionality by causing incorrect data to be used. This is made worse in critical environments that need …
Early Visual Predictors Of Progression To Alzheimer’S Disease And Dementia With Lewy Bodies, Abril Baez
Early Visual Predictors Of Progression To Alzheimer’S Disease And Dementia With Lewy Bodies, Abril Baez
Master's Theses
We examined whether specific visual cognitive skills predict progression from Mild Cognitive Impairment (MCI) to Alzheimer’s disease (AD), or dementia with Lewy bodies (DLB). The Benson Complex Figure Task (BCFT) was used to measure visual perception and construction (copy), and visual memory (recall). National Alzheimer Coordination Center longitudinal dataset included participants who remained stable (MCI-stable; n =2630), progressed to AD (MCI-AD; n =798), or progressed to DLB (MCI-DLB; n =59). Baseline BCFT scores were entered into logistic regression models predicting diagnostic outcome. Impaired copy performance was significantly associated with MCI-DLB (B = 0.79, OR = 2.21, BCa CI [0.26, 1.36], …
Spartan Daily, November 13, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, November 13, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 35
Spartan Daily, November 11, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, November 11, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 34
Spartan Daily, November 6, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, November 6, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 33
Spartan Daily, November 5, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, November 5, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 32
Spartan Daily, November 4, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, November 4, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 31
Molecular Fluctuations Inhibit Intermittency In Compressible Turbulence, Ishan Srivastava, Andrew Nonaka, Weiqun Zhang, Alejandro Luis Garcia, John B. Bell
Molecular Fluctuations Inhibit Intermittency In Compressible Turbulence, Ishan Srivastava, Andrew Nonaka, Weiqun Zhang, Alejandro Luis Garcia, John B. Bell
Faculty Research, Scholarly, and Creative Activity
In the standard picture of fully developed turbulence, highly intermittent hydrodynamic fields are nonlinearly coupled across scales, where local energy cascades from large scales into dissipative vortices and large density gradients. Microscopically, however, constituent fluid molecules are in constant thermal (Brownian) motion, but the role of molecular fluctuations in large-scale turbulence is largely unknown, and with rare exceptions, it has historically been considered irrelevant at scales larger than the molecular mean free path. Recent theoretical and computational investigations have shown that molecular fluctuations can impact energy cascade at Kolmogorov length scales. Here, we show that molecular fluctuations not only modify …
Spartan Daily, October 30, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 30, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 30
Spartan Daily, October 29, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 29, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 29
Spartan Daily, October 28, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 28, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 28
Do Sustainability Reports Contain Financially Material Information?, Suzanne Haley, Matthew Shaffer, Richard Sloan
Do Sustainability Reports Contain Financially Material Information?, Suzanne Haley, Matthew Shaffer, Richard Sloan
Faculty Research, Scholarly, and Creative Activity
Recent years have witnessed significant growth in corporate sustainability reporting. Yet existing research provides mixed evidence on the information content of these reports for investors. We examine the stock market reaction to the announcement of a sample of US corporate sustainability reports incorporating Sustainability Accounting Standards Board metrics that are intended to provide financially material information to investors. Using standard measures of information content, we cannot find compelling evidence that these reports provide a significant amount of new information to investors. Further analysis of a subset of common metrics indicates that they are either financially immaterial or preempted by traditional …