Results 91 to 100 of about 52,163 (250)
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
TrojanWhisper: Evaluating Pre-Trained LLMs to Detect and Localize Hardware Trojans
IEEE AccessExisting Hardware Trojan (HT) detection methods face critical limitations: logic testing struggles with scalability, side-channel analysis requires golden reference chips, and formal verification suffers from state-space explosion.
Md Omar Faruque +3 more
doaj +1 more source
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Integrated Modeling and Target Classification Based on mmWave SAR and CNN Approach
SensorsThis study presents a numerical modeling approach that utilizes millimeter-wave (mm-Wave) Frequency-Modulated Continuous-Wave (FMCW) radar to reconstruct and classify five weapon types: grenades, knives, guns, iron rods, and wrenches.
Chandra Wadde +4 more
doaj +1 more source
Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI
AI &Innovation, EarlyView.This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley +1 more source
Comparative Analysis of Machine Learning Algorithms for Phishing Email Detection
NTU Journal of Engineering and TechnologyNowadays,The danger of cyberattacks grows as technology develops, requiring more advanced detection and prevention methods. With an emphasis on e-mail phishing detection, the study explores the use of machine learning (ML) to improve cybersecurity ...
Raweia Salim Mohammed +1 more
doaj +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract Crop insurance is undoubtedly an extremely valuable element in protecting agricultural businesses, but in many cases standard indemnity‐based products have had very low uptake due to high transaction costs elevating premiums to unaffordable levels.
Amogh Prakasha Kumar +2 more
wiley +1 more source
Smart Agricultural TechnologyThe timely and accurate identification and prediction of crop diseases and insect pests are essential for effective crop management. This research provides a thorough evaluation of various deep learning (DL) models focused on the classification and ...
Amit Bijlwan +8 more
doaj +1 more source
Risk management externalities in agrifood supply chains
American Journal of Agricultural Economics, EarlyView.Abstract Firms may under‐ or over‐invest in risk management from the social planner's perspective, resulting in a negative externality on other economic agents in the supply chain. The externality of risk management is particularly relevant for agrifood supply chains, which frequently experience disruptions and play a primary role in preventing major ...
Jeffrey Hadachek, Meilin Ma
wiley +1 more source