Results 31 to 40 of about 78,546 (297)

Pest recognition based on multi-image feature localization and adaptive filtering fusion

Frontiers in Plant Science, 2023
Accurate recognition of pest categories is crucial for effective pest control. Due to issues such as the large variation in pest appearance, low data quality, and complex real-world environments, pest recognition poses challenges in practical ...
Yanan Chen, Miao Chen, Minghui Guo, Minghui Guo, Jianji Wang, Nanning Zheng   +5 more
doaj   +1 more source

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source

Large Scale MRI Collection and Segmentation of Cirrhotic Liver

Scientific Data
Liver cirrhosis represents the end stage of chronic liver disease, characterized by extensive fibrosis and nodular regeneration that significantly increases mortality risk.
Debesh Jha, Onkar Kishor Susladkar, Vandan Gorade, Elif Keles, Matthew Antalek, Deniz Seyithanoglu, Timurhan Cebeci, Halil Ertugrul Aktas, Gulbiz Dagoglu Kartal, Sabahattin Kaymakoglu, Sukru Mehmet Erturk, Yuri Velichko, Daniela P. Ladner, Amir A. Borhani, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci   +16 more
doaj   +1 more source

Defect Detection in Industrial Soldering Processes Using Machine Learning: A Critical Literature Review

IEEE Access
As electrical devices take on more life-critical roles, such as in autonomous driving, ensuring the quality of solder joints during production becomes increasingly important.
Luca Eisentraut, Johanna Hosch, Maksym Roytenberg, Amelie Benecke, Pascal Penava, Ricardo Buettner   +5 more
doaj   +1 more source

STNet: shape and texture joint learning through two-stream network for knowledge-guided image recognition

Frontiers in Neuroscience, 2023
IntroductionThe human brain processes shape and texture information separately through different neurons in the visual system. In intelligent computer-aided imaging diagnosis, pre-trained feature extractors are commonly used in various medical image ...
Xijing Wang, Hongcheng Han, Mengrui Xu, Mengrui Xu, Shengpeng Li, Dong Zhang, Dong Zhang, Shaoyi Du, Meifeng Xu   +8 more
doaj   +1 more source

Artificial Intelligence and Mental Well‐Being in Adult Education: Implications for Practice and Professional Responsibility

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley   +1 more source

Deskilling, Upskilling, and Reskilling: a Case for Hybrid Intelligence

, 2021
International audienceAdvances in AI technology affect knowledge work in diverse fields, including healthcare, engineering, and management. Although automation and machine support can increase efficiency and lower costs, it can also, as an unintended ...
Rafner, Janet, Frances, Kampf, Constance, Elizabeth, Mackay, Wendy, Dellermann, Dominik, Verasztó, Dóra, Hjorth, Arthur, Sherson, Jacob, F   +6 more
core   +1 more source

Deep Learning-Based Detection of Tuberculosis Using a Gaussian Chest X-Ray Image Filter as a Software Lens

IEEE Access
Tuberculosis remains one of the most prevalent and lethal infectious diseases, with millions of cases reported each year. Convolutional neural networks have proven effective in detecting such diseases from medical images, achieving high accuracy in ...
Luca Eisentraut, Christopher Mai, Johanna Hosch, Amelie Benecke, Pascal Penava, Ricardo Buettner   +5 more
doaj   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Advancements in Landmine Detection: Deep Learning-Based Analysis With Thermal Drones

IEEE Access
The pervasive threat of landmines across conflict-affected regions necessitates advancements in detection technologies to enhance safety and efficiency in demining efforts.
Daniel Heuschmid, Oliver Wacker, Yannick Zimmermann, Pascal Penava, Ricardo Buettner   +4 more
doaj   +1 more source