This paper proposes a real-time ML-driven WAF framework to detect and prevent SQLi. By fusing hybrid features (TF-IDF, Word2Vec, FastText) and optimizing an MLP via Genetic Algorithms, the deployed system achieves 99.87% accuracy: https://t.co/a1Q0XT50fB
This paper analyzes 94k+ YouTube comments using topic modeling to explore vaccine hesitancy. It reveals debates on safety, trust, and misinformation, stressing the need for targeted digital communication to protect public health: https://t.co/eXrtS5aOT9
This paper presents a hybrid U-Net and Swin Transformer model that improves kidney tumor segmentation. Tested on the KiTS21 dataset, it achieves a 0.91 Dice score, outperforming baseline models and capturing global context: https://t.co/dIgewRH2ll
This paper proposes a formal LLM-based model for born-accessible web remediation, treating accessibility as constrained regeneration through structured transformation, evaluation, and decision-governed workflows: https://t.co/iRLsuI9rtW
#WebAccessibility#LLM#AccessibleDesign
This paper presents a single-layer QCA-based Dadda Tree Multiplier. It reduces cell count by 59.12% and area by 39.80%, offering a compact core for future nanoscale embedded and signal-processing systems: https://t.co/zTUcbZHQDI
This paper uses the Jennex–Olfman model and a 400-practitioner analysis to show how AI enhances knowledge management through automation and human support, while emphasizing that success depends on governance and theory: https://t.co/A5EBsGlI6O
This paper proposes XCrime-LLM, a framework fine-tuning #GPT-4.1-mini with spatio-temporal features for reliable, explainable next-week #crime prediction in #NYC and #Chicago, outperforming prompting baselines: https://t.co/AluaTWT9aE
This paper presents a semantic-segmentation framework for automated Luzhou-flavor Daqu quality analysis, achieving 87.54% mIoU and precise defect quantification for industrial inspection: https://t.co/U4TtjNPQMQ
#ComputerVision#SemanticSegmentation#DeepLearning#FoodTech
This paper introduces a browser-based word search game for American Sign Language. It uses a transformer-based model to recognize signs via webcam, achieving high accuracy and low latency to enhance interactive learning: https://t.co/9bnIMbwVIn
This paper surveys cloud fault and intrusion tolerance, classifying architectures and analyzing combined approaches. It compares systems via metrics like cost and reliability to help researchers develop resilient scheduling: https://t.co/zTh7uZE6C3
Meet Us at the 16th Global TechMining Conference, 20–22 May 2026, Wuhan, China. Our delegates look forward to meeting you in person at our booth and answering any questions that you may have. You can check the full announcement here: https://t.co/IYIfSaL7X0
New publication in @Computers_MDPI (2026)
“Analysis of the Consensual Pupillary Reflex Using Blue LED Step Light and Automated Image Segmentation”
Blue LED (465 nm), Automated segmentation, Low-cost pupillometry
#ComputerVision#BiomedicalEngineering
https://t.co/0q09y9ixBK
This study presents a systematic empirical evaluation of four supervised machine learning models—Decision Tree, Random Forest, Support Vector Machine (SVM), and XGBoost—for network anomaly detection using the UNSW-NB15 dataset: https://t.co/Yng4r1qYcq
This recently published paper in Computers MDPI investigates federated multi-centre liver tumour classification from contrast-enhanced CT under realistic data heterogeneity and domain shift: https://t.co/HanHOBPRRu
This study investigates the educational potential of Large Language Models (LLMs) for automating rule-checking tasks in Building Information Modeling (BIM) instruction: https://t.co/xNMdpBFmMb
📣 We are glad to announce that the "Recent Advances in Computer-Assisted Learning" Special Issue in Computers MDPI is now also reprinted into a book format! 👏 You can read the full reprinted book online in Open Access via the following link: https://t.co/7WibhA9rgo
This paper proposes E-ParetoDiag, a framework for Model-Based Diagnosis that balances computational cost with interpretability. Using Pareto optimization, it produces more human-readable, less complex diagnoses without sacrificing accuracy: https://t.co/CF2LVYal9y