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ORCIDACM Southeast Conference 2026: Troy, AL, USA
- Suman Kumar, Byungkwan Jung, Eric Gamess:
Proceedings of the 2026 ACM Southeast Conference, ACMSE 2026, Troy University, Troy, AL, USA, April 23-25, 2026. ACM 2026, ISBN 979-8-4007-2062-8 - Kevin Lumbard
, Farhad Mohammad Afzali, Georg J. P. Link:
Before and After the Switch: Exploring Contributor Levels when Vendor-Controlled Open Source Projects Go Proprietary. 2-9 - Kevin Lumbard, Vinod Ahuja, Matt Germonprez:
Understanding Development Patterns in Corporate Open Source Projects. 10-17 - Nazmus Shakib Shadin, Xinyue Zhang, Dan Chia-Tien Lo:
Kernel-Aware Federated Learning with Multi-Teacher Knowledge Distillation and OS-Level Synchronization. 18-27 - Mahmoud Abusaqer, S. M. Faiaz Mursalin, Jamil Saquer:
Comparative Analysis of Boosting Algorithms and DistilBERT Across Multi-Domain Text Classification Tasks. 28-37 - Sharoon Sharif, Inikpi Egbunu, Yujian Fu, Zhigang Xiao:
Hybrid Multi-Modal Learning for Extreme Long-Tail Fungi Classification. 38-45 - Rakibul Islam, Huixin Zhan:
Black-Box Watermarking for Genomic Foundation Models with Latent Signature Alignment. 46-53 - Anas Gamal Aly, Hala ElAarag:
No Pedestrian Left Behind: Real-Time Detection and Tracking of Vulnerable Road Users for Adaptive Traffic Signal Control. 54-62 - Sai Radhika Koneru, Laurel Boykin Powell:
Visual Linguistics of Memorability: A Caption-Based Framework for Image Memorability Analysis. 63-72 - Nishat Tasnim, Yong Shi:
SA-SegFormer: Sequential Attention Mix-Transformer for NMSC Histopathology Segmentation and Uncertainty Estimation. 73-82 - Peter Ly, Joseph Milongo, Yixin Xie, Xin Shirley Tian, Jing (Selena) He, Chen Zhao:
Multi-Cohort Structural Magnetic Resonance Imaging-Based Alzheimer's Disease Staging Using Convolution Neural Network. 83-92 - Hemanth Reddy Madduri, Xin Zhang, Jun Zheng, Huixin Zhan:
Unified Generative Multimodal Modeling of Surgical Gestures and Phases via Transfer Learning. 93-102 - Farnod Bahrololloomi, Johannes Luderschmidt, Biying Fu:
Automated Generation of Synthetic Medical Dialogues Using Large Language Models. 103-112 - Justin Carney, Jeffrey Morris, Anthony Rizi, Edward Tremel, Michael Nowatkowski:
Field Devices Under Fire: A Security Assessment of Handheld Radionuclide Isotope Identification Devices. 113-121 - Zachary Lloyd, Mengjun Xie:
Risk Assessment of a Hypothetical Quantum Repeater Network Using SP 800-30 and the CIA Triad. 122-129 - Adita Kulkarni:
Predicting Broadband Customer Complaints Using Data-Centric AI: A Case for Synthetic Data. 130-137 - Hemant Upadhyay, Emily Jeffcott, Nipesh Pant, Saurav Ghosh, Batuhan Tanrikulu, Reshmi Mitra, Indranil Roy:
Blockchain Network Deployment for Federated IoT Access Control. 138-147 - Sunday Awine, Hongmei Chi:
Bridging Theory and Practice via PQC Hands-On Laboratories in Cybersecurity Education. 148-156 - Eric Gamess, Aashaya Aryal, Yunus Korku:
Exploring the Ethernet Capabilities of the Raspberry Pi 4B/5. 157-166 - Sheikh Muhammad Farjad, Robin Gandhi:
Practice-Informed Pedagogy for Linux Security: Perspectives on ML-Driven Solutions for Daemon Security. 167-174 - Anca Doloc-Mihu, Kristie Walsdorf, Karen Perell-Gerson, Cindie Corey:
A Qualitative Analysis of Critical Thinking Skills Through Real-World Software Development Projects. 175-182 - Sabrina Hackman, Michelle Johnson, W. Chris Taylor, Anisha Yellamraju, Maryam Taeb:
Privacy Concerns of AI-Based Surveillance Systems Under FERPA and Educational Privacy Laws. 183-192 - Lionel E. Standridge, Frank J. Mitropoulos:
A Taxonomy of Architectural Technical Debt in Legacy Object-Oriented Systems. 194-198 - Poonkuzhali Vasudevan, Sandeep Reddivari, Sanjay Ahuja, Nan Niu:
Requirements Classification Using Fine-Tuned Transformer Models: A Comparative Study of BERT, RoBERTa, and GPT-4o. 199-204 - Michael Seavers, Yongyi Gong, Qi Li:
GPU Starvation from the Control Plane: A Systems Study of Reinforcement Learning in Deep Learning Pipelines. 205-210 - Yash Patel, Nour Amri, Hala ElAarag:
Prompt Optimization for Large Language Models via Squirrel Search Algorithm. 211-216 - Kishan Rajdev, Hyung Jae Chang:
Diversity-Enhanced Snapshot Ensembles: Improving Robustness via Diversity-Based Snapshot Selection. 217-222 - Christopher J. Holley, Zan Jamieson, Ishaan Joshy, Brecken O'Leary, Rohin Patel, Abhikruthi Sudula, Peter Tenholder, Anish Velagapudi, Larry Hodges:
Designing an Embodied Chatbot for High School Students: An Interaction Analysis. 223-228 - Olivia Bunch, Maryam Taeb:
Trustworthiness of Vibe Coding from the NIST AI RMF Perspective. 229-234 - Ethan Peterson, Huixin Zhan:
From Phase Grounding to Intelligent Surgical Narratives. 235-240 - Mahmoud Abusaqer, Jessica Nwobodo, Khalid Hasan, Jamil Saquer:
Comparing Transformers and Zero-Shot Large Language Models for Suicidal Ideation Detection. 241-246 - Henry Schulz, Feng Zhu:
Feasibility and Efficiency of Subliminal Warnings Against Phishing Attacks. 247-252 - Apogee Childers, Krishnan Gopalakrishnan:
A Note on the (In)Security of a Stream Cipher Based on Gopala-Hemachandra Codes. 253-257 - Mahreen Khan, Maria Mushtaq, Ludovic Apvrille:
NeuroSnitch: Exploiting Inter-Spike Interval Statistics for Timing Side-Channel Attacks on Noisy Neuromorphic Systems. 258-263 - Faiza Akram, Maisha Rahman Chowdhury, Gabriella Dunne, Katherine Williams, Kaleb Love, Asad Waqar Malik, Samee U. Khan:
iGenOrch: Intelligent Orchestration Framework for Multi-Model LLM Inference on Edge Platforms. 264-269 - Michael Seavers, Qi Li:
Identifying the Optimal Number of DataLoader Workers for CPU-GPU Concurrency in Asynchronous Deep Training Pipelines. 270-275 - Mohammod Akib Khan, Sahidul Islam:
Optimizing Deep Learning Inference on Multi-Core Laptop CPUs with Scheduling and Thread Affinity Strategies. 276-280 - Ronald James Nowling:
Illustrating TinyML on Microcontrollers with an Acoustic Monitoring Project. 281-286 - Mohammed Chowdhury, Eric Aragundi, Briana Deloatch, Kaiyuan Hou, Jason O. Hallstrom, Jennifer Laird:
Gamifying the Bus Stop: Rock-Paper-Scissors with an AI Hand Gesture Recognition System. 287-292 - James A. Jerkins:
Penalizing Malicious Web Bots with an Allow List Based Reverse Proxy and Tarpit. 293-297 - Elka Cahn:
Best Practices for Measuring EEG in Virtual Reality Experiments. 299-300 - Elka Cahn:
Multisensory Stimulation and Measures of Presence in Virtual Reality. 301-302 - Kishan Rajdev, Hyung Jae Chang:
Uncertainty-Aware Skin Cancer Classification with Deep Ensembles. 303-304 - Siri Yellu, Shemonti Barua, Rohan Jonnalagadda, Sai Chandana Koganti, Bin Luo, Sanghoon Lee:
A Study of EEG-to-Text Translation Using Convolutional Encoding and Multi-View Transformer Modeling. 305-306 - David Thornton:
Conversational Teaching Assistant Supported by Large Language Model in Immersive Virtual Reality Game. 307-308 - Darcy Stacy, Lan Kong:
Detecting AI-Generated Essays: A Hybrid Stylometric and TF-IDF Approach with Cross-Dataset Validation. 309-310 - Michael Seavers, Qi Li:
Multiprocessing vs. Multithreading: A Case Study of PyTorch DataLoader Workers in Deep Learning Pipelines. 311-312 - Connor Muncher, Mohammed Gaus Alam, Eric Gamess:
Evaluating Raspberry Pi Platforms as Practical Solutions for Low-Cost Edge-Based Machine Learning. 313-314 - Christopher Ogden:
Current State-of-the-Art in Artificial Intelligence - December 2025. 315-316
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