Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
IEEE

Feature Selection Based on Twin Support Vector Regression

Abstract: Twin support vector regression (TSVR) is a regression algorithm based on the support vector regression (SVR) and the spirit of the support vector machine (TWSVM) . However, some feature ...
IEEE

Machine Learning-Based Predictive Inventory for a Vending Machine Warehouse

Abstract: In this study, we predict inventory for an IoT-enabled vending machine warehouse servicing approximately 1,500 vending machines with the goal of timely replenishing, achieving cost ...
Virtualization Review

Running AI Locally, Part 2: From VMware Context to Hands-On Tools

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.
C&EN

Effect of Molecular Descriptor Feature Selection in Support Vector Machine Classification of Pharmacokinetic and Toxicological Properties of Chemical Agents

Department of Computational Science, National University of Singapore, Blk SOC1, Level 7, 3 Science Drive 2, Singapore 117543, Singapore-MIT Alliance, E-04-10, 4 Engineering Drive 3, Singapore, 117576 ...
Journal of Medical Internet Research

Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease ...

Six ML algorithms (Extreme Gradient Boosting [XGBoost], logistic regression (LR), Light Gradient Boosting Machine [LightGBM], random forest [RF], support vector machine [SVM], and k-nearest neighbor ...
SpeedwayMedia.com

Driver Telemetry & Data-Driven Vector Analysis: The Hidden Language of Race Car Engineering

Several sensors distributed throughout the vehicle capture metrics such as speed, throttle position, braking pressure, tire behavior, and the directional forces acting on the chassis.
Microsoft

AutoJack: How a single page can RCE the host running your AI agent

Ongoing research into AI agent framework security identified an exploit chain in AutoGen Studio (AutoGen’s open-source prototyping user interface) that allows untrusted web content rendered by a ...
GitHub

yuekong2010/load-forecasting-algorithms

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Journal of Medical Internet Research

Hepatic Steatosis Severity Prediction in Nonobese Individuals: Machine Learning Model Development and Validation

Six machine learning algorithms—k-nearest neighbors, naive Bayes, multilayer perceptron, random forest, support vector machine, and Extreme Gradient Boosting (XGBoost)—were developed using 10-fold ...
C&EN

Machine Learning Models Identify New Inhibitors for Human OATP1B1

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Frontiers

Machine Learning Algorithms for Predicting Glycemic Control and Weight Loss Outcomes in GLP-1 Receptor Agonist Users

Machine learning models, particularly tree-based ensemble methods, showed strong potential for predicting treatment response to GLP-1 RA therapy. These findings highlight the value of integrating ...