Results 31 to 40 of about 109,504 (168)

Role of Computer Science (Artificial Intelligence) In Poultry Management

Devotion : Journal of Research and Community Service, 2022
The precise control of animals is the focus of a new strategy to enhance animal welfare in the poultry industry. We notice that good welfare circumstances significantly impact the health of the birds and the quality of the poultry products, which affects economic effectiveness in the production of poultry.
Hrishitva Patel, Adil Sana
openaire   +1 more source

Multi‐strategy Grey Wolf Optimizer for Engineering Problems and Sewage Treatment Prediction

Advanced Intelligent Systems
Grey wolf optimizer (GWO) is a highly valued heuristic algorithm in many fields. However, for some complex problems, especially high‐dimensional and multimodal problems, the basic algorithm has limited computational power and cannot get a satisfactory ...
Chenhua Tang, Changcheng Huang, Yi Chen, Ali Asghar Heidari, Shuihua Wang, Huiling Chen, Yudong Zhang   +6 more
doaj   +1 more source

A foundation model for rock thin-section images analysis

Communications Engineering
Rock thin-section image analysis is a fundamental task in geological and mineralogical research. Traditional methods rely on visual inspection by experts using optical microscopes, which are inherently subjective, experience-dependent, and time-consuming.
Jiansong Fan, Xiaolu Yu, Yicheng Di, Tianxu Lv, Rui Zhang, Jiayu Bao, Yuan Liu, Lihua Li, Xiang Pan   +8 more
doaj   +1 more source

Sub-Connection Learning for fMRI-Based Brain Functional Network

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Brain functional network analysis models the brain as a graph of regions of interest (ROIs) and quantifies the correlations across different regions derived from functional magnetic resonance imaging (fMRI).
Hui Huang, Zhaoxuan Zhu, Yisu Ge, Ruoxi Deng, Zhao-Min Chen   +4 more
doaj   +1 more source

GFRNet: Rethinking the global contexts extraction in medical images segmentation through matrix factorization and self‐attention

IET Computer Vision
Due to the large fluctuations of the boundaries and internal variations of the lesion regions in medical image segmentation, current methods may have difficulty capturing sufficient global contexts effectively to deal with these inherent challenges ...
Lifang Chen, Shanglai Wang, Li Wan, Jianghu Su, Shunfeng Wang   +4 more
doaj   +1 more source

Super Virus Machines: Faster Virus Transmission, More Efficiency Using Superchannels

Intelligent Computing
Surpassing the classical computing architecture is one of the great challenges of computer science today. The branch that approaches it from a theoretical point of view, inspired by nature, is called natural computation.
Antonio Ramírez-de-Arellano-Marrero, Luis Valencia-Cabrera, David Orellana-Martín, Mario J. Pérez-Jiménez   +3 more
doaj   +1 more source

Learning the language of protein-protein interactions

Nature Communications
Protein Language Models (PLMs) trained on large databases of protein sequences have proven effective in modeling protein biology across a wide range of applications.
Varun Ullanat, Bowen Jing, Samuel Sledzieski, Bonnie Berger   +3 more
doaj   +1 more source

Artificial intelligence and computer vision in forensic sciences

Rechtsmedizin
Abstract Background The integration of artificial intelligence (AI) and computer vision (CV) into forensic sciences has transformed the analysis of violence-related evidence, improving precision, objectivity and efficiency across various forensic applications.
Rafael Morán-Torres, Katharina Feld, Jürgen Hesser, Yasmeen M. Taalab, Kathrin Yen   +4 more
openaire   +1 more source

From Code to Cure: The Impact of Artificial Intelligence in Biomedical Applications

BioMedInformatics
Artificial intelligence (AI), a branch of computer science, involves developing intelligent computer programs to mimic human intelligence and automate various processes [...]
M. Michael Gromiha, Palanisamy Preethi, Medha Pandey   +2 more
doaj   +1 more source

Pattern memory cannot be completely and truly realized in deep neural networks

Scientific Reports
The unknown boundary issue, between superior computational capability of deep neural networks (DNNs) and human cognitive ability, has becoming crucial and foundational theoretical problem in AI evolution.
Tingting Li, Ruimin Lyu, Zhenping Xie
doaj   +1 more source