Results 51 to 60 of about 6,287 (187)

Artificial Intelligence in Periodontology: A Systematic Review

Journal of Periodontal Research, EarlyView.
AI shows promise across periodontology, with deep learning achieving strong performance for image‐based diagnosis of periodontitis. However, limited data diversity, inconsistent metrics, and scarce external validation raise concerns about generalizability and clinical applicability.
Antonin Tichy, Nils Werner, Helena Dujic, Charlotte Wetzel, Vinay Pitchika, Caspar Victor Bumm, Matthias Folwaczny, Falk Schwendicke   +7 more
wiley   +1 more source

ICAG‐Net: An Interactive CNN–Transformer Architecture With Attention‐Guided Gated Fusion for Crop Disease Detection

Engineering Reports, Volume 8, Issue 5, May 2026.
This study presents an AI‐driven approach to smart agriculture focused on early detection of crop diseases, especially fungal infections, to enhance food security. An ensemble model combining a Custom CNN for local feature extraction and a pretrained vision transformer (ViT) for global context analysis is proposed.
Kapil Arvind Chavan, Uttam U. Deshpande, Sudhindra B. Deshpande, Sowmyashree H. Srinivasaiah, Mukesh Kumar, Sukhdev B. Waghmode   +5 more
wiley   +1 more source

Optimization and Benchmarking of Lightweight Neural Networks for Efficient Embedded AI Deployment

Engineering Reports, Volume 8, Issue 5, May 2026.
A hardware‐aware optimization and benchmarking framework for lightweight neural networks is presented for deployment on heterogeneous embedded platforms including CPU, GPU, TPU, and MCU architectures. Model compression techniques such as quantization, pruning, knowledge distillation, and mixed‐precision computation reduce inference latency, memory ...
Vidapankal Mohammad Fridous, Abhishek Agarwal, K. B. Bhaskar, V. Nandagopal, N. Sivakamasundari   +4 more
wiley   +1 more source

Real‐Time Terrain Traversability Analysis and Mapping for Autonomous Robotics in Dynamic Environments: Fusing Appearance‐ and Geometry‐Based Approaches

Journal of Field Robotics, Volume 43, Issue 3, Page 1719-1738, May 2026.
ABSTRACT This paper presents advanced methodologies for real‐time terrain analysis and mapping in autonomous robotic systems. The focus is on appearance‐based terrain traversability analysis and geometric‐based terrain traceability analysis. In the appearance‐based approach, an enhanced segmentation model using pixel‐based augmentation and 13 unique ...
Semih Beycimen, Dmitry Ignatyev, Argyrios Zolotas   +2 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

Detection of Shipborne Charging Components and Docking of Shore-Based Manipulator Based on MobileNetV2

水下无人系统学报
To realize the autonomous charging of unmanned surface vessels(USVs), a method based on MobileNetV2 was proposed for the detection of shipborne charging components and the docking of shore-based manipulators.
Tenghui XIA, Yueying WANG, Nailong WU, Futeng LIU   +3 more
doaj   +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

A Review on Explainable, Federated Multimodal AI for Heart Disease Detection Using ECG, Cardiac Imaging, and Electronic Health Records

Engineering Reports, Volume 8, Issue 4, April 2026.
Heart disease remains one of the most critical health challenges globally, accounting for a substantial number of deaths each year. With ML, DL, and FL coming into existence, early diagnosis of heart disease through ECG, Cardiac Imaging, and EHRs became increasingly feasible.
P. Murali, S. Meenatchi
wiley   +1 more source

Enhancing Tea Disease Identification with Lightweight MobileNetV2

, 2023
Abstract Plant diseases in tea trees can result in significant losses in both the quality and quantity of tea production. Regular monitoring can prevent the occurrence of large-scale diseases in tea plantations. However, existing methods face challenges such as a high number of parameters and low recognition accuracy, which hinder their ...
Zhilin Li, Yuxin Li, Chunyu Yan, Peng Yan, Xiutong Li, Mei Yu, Tingchi Wen, Benliang Xie   +7 more
openaire   +1 more source

Machine Vision–Based Insect Recognition in Agriculture: A Comprehensive Review

Engineering Reports, Volume 8, Issue 4, April 2026.
This study explores machine vision for automated insect recognition in agriculture, leveraging deep learning and IoT integration. The review highlights real‐time pest detection methods, enhancing crop protection with minimal pesticide use. Comparative analysis of classifiers provides insights into performance and future advancements in sustainable ...
Mohammad Monirul Islam, Morium Akter, Mohammad Shorif Uddin, Md. Ataur Rahman, Md. Tarek Habib   +4 more
wiley   +1 more source