Results 81 to 90 of about 1,888,792 (317)

Machine learning-driven development of a behaviour-based student classification system (SCS-B) for enhanced educational analytics

Scientific Reports
In educational data mining, educational data extraction and analysis, as well as learning analytics, it is very significant to evaluate the student’s performance in various aspects for enhancing the educational standards.
E. S. Vinoth Kumar, R. Augustian Isaac, P. Sundaravadivel, P. Janaki Ramal   +3 more
doaj   +1 more source

Auto‐Generated Valence States in Electrocatalysts for Boosting Oxygen and Hydrogen Evolution Kinetics in Alkaline Water/Alkaline Seawater/Simulated Seawater/Natural Seawater

Advanced Functional Materials, EarlyView.
This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari, Gokul Bhaskaran, Krishan Kumar, Yun Suk Huh, Young‐Kyu Han   +4 more
wiley   +1 more source

DeConvolve: Towards Textually Explainable and Human Cognizable Convolutional Networks

Cybernetics and Information Technologies
Convolutional Neural Networks (CNNs) have demonstrated remarkable accuracy and are employed in different applications. However, adding existing CNNs to physics-aware frameworks can distort image features, reducing classification accuracy.
Meeradevi, Haritas Hrishikesh, Bankapure Darshan, Mishra Divyansh   +3 more
doaj   +1 more source

Bio‐Orthogonally Crosslinked Supramolecular Polymer Bottlebrush Hydrogels for Long‐Term 3D Cell Culture

Advanced Functional Materials, EarlyView.
Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi, David Pretzel, Peer Nölte, Kourosh Rezaei, Ulrich S. Schubert, Johannes C. Brendel   +5 more
wiley   +1 more source

Cyber Threat Intelligence : Challenges and Opportunities

, 2018
The ever increasing number of cyber attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost realtime.
Conti, Mauro, Dargahi, Tooska, Dehghantanha, Ali   +2 more
core   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

From Wafers to Electrodes: Transferring Automatic Optical Inspection (AOI) for Multiscale Characterization of Smart Battery Manufacturing

Advanced Functional Materials, EarlyView.
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley   +1 more source

A Theory Explains Deep Learning [PDF]

This is our journal for developing Deduction Theory and studying Deep Learning and Artificial intelligence. Deduction Theory is a Theory of Deducing World’s Relativity by Information Coupling and Asymmetry.
Lee, Chase Kihwan, Lee, Kenneth Kijun
core  

Quantitative abstraction theory [PDF]

, 2003
A quantitative theory of abstraction is presented. The central feature of this is a growth formula defining the number of abstractions which may be formed by an individual agent in a given context.
Thornton, Chris
core   +2 more sources

Ethical and Bias Considerations in Artificial Intelligence (AI)/Machine Learning.

Modern Pathology
As artificial intelligence (AI) gains prominence in pathology and medicine, the ethical implications and potential biases within such integrated AI models will require careful scrutiny.
Matthew G. Hanna, Liron Pantanowitz, Brian R. Jackson, Octavia Palmer, Shyam Visweswaran, Joshua Pantanowitz, Mustafa Deebajah, H. Rashidi   +7 more
semanticscholar   +1 more source