Results 121 to 130 of about 7,279,238 (253)
Show Me the Brain!!: A modern approach to neuroanatomy education
Anatomical Sciences Education, EarlyView.Abstract Show Me the Brain!! (SMtB) is a digital system for interactive graphics that is designed to support instruction in neuroanatomy and neuroscience. It will soon be made open‐source and freely available. SMtB bridges medical and traditional neuroanatomy instruction with the computational systems and representational conventions common in ...
Nicholas C. Hindy +3 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan +7 more
wiley +1 more source
Accelerating green heterocyclic synthesis: Convergence of AI, automation, and sustainable chemistry
Bulletin of the Korean Chemical Society, EarlyView.Green heterocyclic synthesis and data‐driven tools such as AI, high‐throughput experimentation, continuous flow, and self‐driving laboratories have developed largely in parallel. This review connects them and asks how green metrics such as E‐factor and PMI might serve as explicit optimization targets rather than post‐hoc measures, toward sustainable ...
Noor Aisyah Ahmad Shah +8 more
wiley +1 more source
Trends and Future Directions in Organic Chemistry for Drug Discovery
Chemistry – A European Journal, EarlyView.Organic synthesis is being reshaped by the convergence of catalytic innovation, automation, artificial intelligence, and emerging therapeutic modalities. Late‐stage functionalization, photoredox and electrochemical methods, biocatalysis, flow chemistry, DELs, and proximity‐based drugs are examined as components of closed‐loop discovery.
Paweł Kozyra, Maciej Masłyk
wiley +1 more source
MONAS: Efficient Zero-Shot Neural Architecture Search for MCUs [PDF]
Neural Architecture Search (NAS) has proven effective in discovering new Convolutional Neural Network (CNN) architectures, particularly for scenarios with well-defined accuracy optimization goals. However, previous approaches often involve time-consuming
Qiao, Ye +3 more
core +1 more source
Application of Machine Learning Approaches in Electrophoresis—A Comprehensive Review
ELECTROPHORESIS, EarlyView.This review paper highlights key research on the applications of machine learning tools in electrophoresis. ABSTRACT The electrophoretic technique is widely used to analyze and purify charged molecules based on their size, shape, and charge using an electric field for various applications, including DNA fingerprinting, genetic research, disease ...
Umaeer Al Hammad +2 more
wiley +1 more source
Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network
IET Networks, EarlyView., 2022 Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley +1 more source
Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy
Epilepsia, EarlyView.Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie +10 more
wiley +1 more source
Energy Science &Engineering, EarlyView.Deployment of an aging‐based controller during designing of optimal lithium‐ion battery—supercapacitor (LB‐Sc) hybrid energy storage system (HESS) capacity, in off‐grid IREMGs, improves performance of the LB and reduces its aging rate. Also, annualised cost of the LB‐Sc HESS improves by 33.15% in relation to optimal LB SESS.
Isaac Gwayi +2 more
wiley +1 more source
Energy Science &Engineering, EarlyView.GA‐optimized LSTM for full stress–strain curve prediction of high‐performance cementitious materials. Compression‐test data are preprocessed (cleaning, normalization, interpolation/standardization, and Savitzky–Golay smoothing). A Genetic Algorithm tunes LSTM hyperparameters, while a physics‐informed loss enforces stiffness, peak response ( σ max ...
Mahmoud AlJamal +7 more
wiley +1 more source