A neutrosophic ensemble of Random Forest, XGBoost and Logistic Regression reached 100.00 percent accuracy on three of four held-out CWRU bearing-fault loads (92.27 percent on the fourth) but collapsed…
A first empirical study of general-purpose decision models for network traffic classification found that Jev reached 28.42% accuracy on ten CESNET-QUICEXT-25 application labels after 40 fixed labeled …
A new arXiv paper (2609.36172v1) reports that VGG16 achieved 89.55% validation accuracy in recognizing topological relationships between objects in images, outperforming traditional models including N…
The DataMinds team built an end-to-end urban flow analytics platform for the SLIIT CodeFest Datathon 2026, processing 48.6 million trip records across 260+ urban zones and finishing as Top 8 finalists…
Researchers at IIIT-Delhi's Complex Systems Laboratory released RecipeDB2, a structured compilation of 128,942 recipes and 35,474 ingredients spanning 32 regions and 99 countries, according to a new a…
Aito published beta benchmarks claiming its predictive database matches or beats tuned ML baselines on high-cardinality tasks with zero training time, including 68.5% accuracy on invoice routing accep…
A study comparing traditional machine learning models against LLM-generated rule-based systems for heart disease prediction on the UCI Heart Disease dataset found that traditional models consistently …
A new arXiv paper (2609.11199v1) presents an AI-driven, culturally sensitive stress detection and wellness support system for Pakistani university students, built on a Random Forest model trained on 1…
A FlyRank Machine Learning intern built an offline analytical pipeline that predicts content decay before organic traffic drops, using 30,000 anonymized search performance rows. The optimized Random F…
An MSc Computer Science student at the University of Nairobi is seeking arXiv endorsement for a paper on a protocol-aware adversarial attack framework for MQTT-based intrusion detection systems. The f…
Researchers at arXiv (paper 2609.04300v1) found that Random Forest achieved the highest F1 scores of 0.97 on IEEE-30 and 0.86 on IEEE-14 bus systems for classifying power system contingencies into saf…
Researchers developed a feed-forward attention mechanism integrated with a Long Short-Term Memory network (FAM-LSTM) for multi-step grape berry temperature forecasting, achieving mean absolute errors …
A research team proposed a diagnostic framework using the Large Brain Model (LaBraM), pretrained on over 2,500 hours of EEG data, combined with a non-linear Random Forest classifier to diagnose Alzhei…
XAI released Grok 4.6, its latest frontier model, and Grok Build, a terminal coding agent, which together enable developers to build end-to-end data science projects with just four prompts. In a demon…
Security Anomaly ML, an open-source network-flow detector from developer I. Bondarenko, released v0.1.0, a research/evaluation version that converts CICFlowMeter-compatible traffic into deterministic …
A developer's guide introduces WEKA, a graphical machine-learning workbench that allows beginners to explore datasets and experiment with algorithms without writing code. The guide walks through loadi…
TabBench-LLM, a benchmark introduced by the TabArena team, evaluates large language models as few-shot in-context tabular classifiers against Random Forest and TabPFN v2, using 19 synthetic tasks and …
A developer spent one day training a machine learning model to predict machine failure but considerably longer turning it into production-ready software, reporting that the model achieved 74.20% accur…
An open-source network intrusion detection system called ML-IDS, built with CatBoost and restricted to Layer 3 and Layer 4 behavioral features, solves the zero-detection problem caused by class imbala…
A developer built DevDiff, a real-time pull request risk intelligence platform that combines rule-based security analysis, machine learning, and optional LLM reasoning to identify risky code changes. …