Results 71 to 80 of about 22,365 (196)

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Interpretable CRAM‑Enhanced Lightweight Dual‑Branch CNN for Real‑Time Breast Cancer Histopathology in Internet‑of‑Medical‑Things Environments

Small, Volume 22, Issue 26, 8 May 2026.
This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun, Rotimi‐Williams Bello, Pius Adewale Owolawi, Rytis Maskeliūnas, Abdulsatar Abduljabbar Sultan   +4 more
wiley   +1 more source

AI‐Enabled Imaging for Pathogen Detection Under Stress Conditions: A Systematic Review

Comprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 3, May 2026.
ABSTRACT Advances in pathogen detection that incorporate artificial intelligence (AI) may capture microbial signals under challenging environmental conditions that traditional methods miss. This systematic review evaluates the application, performance, and methodological characteristics of AI‐enabled imaging for pathogen detection, including its impact
MeiLi Papa, Gillian Kuehnle, Yoo Jung (Erika) Oh, Jiyoon Yi   +3 more
wiley   +1 more source

Federated Neural Architecture Search

, 2020
To preserve user privacy while enabling mobile intelligence, techniques have been proposed to train deep neural networks on decentralized data. However, training over decentralized data makes the design of neural architecture quite difficult as it ...
Bian, Kaigui, Huang, Gang, Liu, Xuanzhe, Mei, Qiaozhu, Xu, Mengwei, Zhao, Yuxin   +5 more
core  

On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection

Expert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods. This work considers the dimensionality of Mel‐Frequency Cepstral Coefficients (MFCCs) as a core design variable
Sergio A. Falcón‐López, Llanos Tobarra, Antonio Robles‐Gómez, Rafael Pastor‐Vargas   +3 more
wiley   +1 more source

Design of Deep Learning-Based Pressure Injury Stage Classification Device

Jurnal Rekayasa Elektrika
Pressure injury or pressure ulcers could occur due to continuous pressure on the bony prominence of the skin and tissue. Geriatric patients, especially those with limited mobility and several comorbidities, are more susceptible to pressure injury.
Wahmisari Priharti, Husneni Mukhtar, I Made Prastha Giriwara, I Made Andi Majesta, Wayan Abin Bena Bimantara   +4 more
doaj   +1 more source

EfficientFormer: Vision Transformers at MobileNet Speed

, 2022
Vision Transformers (ViT) have shown rapid progress in computer vision tasks, achieving promising results on various benchmarks. However, due to the massive number of parameters and model design, \textit{e.g.}, attention mechanism, ViT-based models are generally times slower than lightweight convolutional networks.
Li, Yanyu, Yuan, Geng, Wen, Yang, Hu, Ju, Evangelidis, Georgios, Tulyakov, Sergey, Wang, Yanzhi, Ren, Jian   +7 more
openaire   +2 more sources

Evolution of Point‐of‐Care Nucleic Acid Testing: From Amplification Chemistry to Intelligent and Data‐Driven Systems for Public Health

Aggregate, Volume 7, Issue 4, April 2026.
This review summarizes recent advances in integrated point‐of‐care testing (POCT) systems for public health, encompassing isothermal nucleic acid amplification, CRISPR‐based signal amplification, device integration, and chemometric/artificial intelligence‐assisted data interpretation, with applications in infectious disease surveillance, food and ...
Yan Du, Jiaqi Li, Jinghong Li
wiley   +1 more source

Youth Depression Diagnosis Algorithm Based on 3D-WGMobileNet and Transfer Learning [PDF]

Radioengineering
Depression is a common mental illness that not only profoundly infests the psychological state of patients, but also tends to cause damage to the functioning of patients' brain areas.
Y. Wang, Z. H. Guo, K. Sun, H. B. Xiao, W. M. Wang   +4 more
doaj  

Recognition of the emotional state based on a convolutional neural network

Научно-технический вестник информационных технологий, механики и оптики
The paper proposes a new solution for recognizing the emotional state of a person (joy, surprise, sadness, anger, disgust, fear, and neutral state) by facial expression.
G. M. Soma, A. M. Kadnova
doaj   +1 more source