Results 91 to 100 of about 2,803,034 (293)
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
How to interrogate to detect deception
Decades of psycho-legal research has shown that both lay people and presumed experts (e.g., police officers) are poor at detecting deception. However, previous research has neglected that in many real-life situations there is evidence against a suspect ...
Granhag, Pär-Anders,
core
Audio spectrogram deception detection
Automatic deception detection is an important research direction, and traditional detection methods based on physiological signals are difficult to be implemented in real life. Video-based detection methods are a better alternative. However, each culture
Gao, Ziqi
core
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Deception detection based on micro-expression and feature selection methods
Video-based deception detection, which identifies lies through facial expressions and behaviors, has proven to be an effective approach in criminal interrogation. In this paper, a deception detection framework is proposed that incorporates a novel set of
Shusen Yuan +6 more
doaj +1 more source
Full-pulse Multi-jammer Cooperative Jamming Method for Active-passive Radar Composite Detection
In an increasingly complex electromagnetic environment, the composite detection of active-passive radar, with its excellent complementary advantages, has become an important working mode for enhancing the combat capability and anti-interference ...
Wen JIANG +6 more
doaj +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Malingering, the feigning of psychological or physical ailment for gain, imposes high costs on society, especially on the criminal-justice system. In this article, we review some of the costs of malingering in forensic contexts.
Jeffrey J. Walczyk +2 more
doaj +1 more source
Large Language Model‐Based Chatbots in Higher Education
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
The Collective Power of Bacteria as a Blueprint for Emergent Intelligence
Small cells, powerful collectives. Bacteria demonstrate how sophisticated behaviors can emerge from many simple individuals working together. We explore the remarkable world of bacterial communities and the mechanisms that underpin their complex emergent behaviors, enabling impressive adaptability, robustness, and responsiveness to changing ...
Johanna A. Blee +2 more
wiley +1 more source

