Results 191 to 200 of about 3,352,645 (370)

International journal of Computer Networks & Communications [PDF]

Eladio Martin, Růžena Bajcsy
openalex   +1 more source

Computer Security and Networking Protocols: Technical Issues in Military Data Communications Networks [PDF]

, 1980
Rona B. Stillman, C. Defiore
openalex   +1 more source

AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices

Advanced Science, EarlyView.
Triboelectric nanogenerators (TENGs) enable sustainable energy harvesting and self‐powered sensing but face challenges in material optimization, fabrication, and stability. Integrating artificial intelligence (AI) enhances TENG performance through machine learning, improving energy output, adaptability, and predictive maintenance.
Aiswarya Baburaj, Syamini Jayadevan, Akshaya Kumar Aliyana, Naveen Kumar SK, George K Stylios   +4 more
wiley   +1 more source

Disturbance‐Aware On‐Chip Training with Mitigation Schemes for Massively Parallel Computing in Analog Deep Learning Accelerator

Advanced Science, EarlyView.
This study proposes novel operational schemes to solve the write disturbance issues in oxide‐semiconductor and capacitor‐based synaptic devices (6T1C devices). These schemes effectively neutralize disturbances, enabling high‐performance on‐chip training of convolutional neural networks and reducing capacitor size over 100 times.
Jaehyeon Kang, Jongun Won, Narae Han, Sangjun Hong, Jee‐Eun Yang, Sangwook Kim, Sangbum Kim   +6 more
wiley   +1 more source

Engineered Tissue Models to Decode Host–Microbiota Interactions

Advanced Science, EarlyView.
Host–Microbiota interactions in the human body. Created in BioRender. Ghezzi, C. (2025) https://BioRender.com/ihivskg. Abstract A mutualistic co‐evolution exists between the host and its associated microbiota in the human body. Bacteria establish ecological niches in various tissues of the body, locally influencing their physiology and functions, but ...
Miryam Adelfio, Grace E. Callen, Xuesong He, Bruce J. Paster, Hatice Hasturk, Chiara E. Ghezzi   +5 more
wiley   +1 more source

Ransomware detection based on machine learning using memory features

Egyptian Informatics Journal
Ransomware attacks have escalated recently and are affecting essential infrastructure and enterprises across the globe. Unfortunately, ransomware uses sophisticated encryption techniques to encrypt important files on the targeted machine and then demands
Malak Aljabri, Fahd Alhaidari, Aminah Albuainain, Samiyah Alrashidi, Jana Alansari, Wasmiyah Alqahtani, Jana Alshaya   +6 more
doaj  

Author Correction: A single-photon emitter coupled to a phononic-crystal resonator in the resolved-sideband regime. [PDF]

Nat Commun
Spinnler C, Nguyen GN, Wang Y, Zhai L, Javadi A, Erbe M, Scholz S, Wieck AD, Ludwig A, Lodahl P, Midolo L, Warburton RJ.   +11 more
europepmc   +1 more source

Journal of Computer Systems, Networks, and Communications

, 2012

openalex   +1 more source

Divergence Based Feature Selection for Pattern Recognizing of the Performance of Intrusion Detection in Mobile Communications Merged with the Computer Communication Networks

, 2023
N. Chitra, S Safinaz., K. Bhanu Rekha
openalex   +2 more sources

Machine Learning Approach to Characterize Ferromagnetic La0.7Sr0.3MnO3 Thin Films via Featurization of Surface Morphology

Advanced Science, EarlyView.
A machine‐learning approach is presented to characterize ferromagnetic LSMO thin films by featurizing their surface morphology. Through an ensemble model, the non‐linear correlations between surface morphology and the electric/magnetic properties of LSMO thin films are successfully captured.
Sanghyeok Ryou, Jihyun Lim, Minwoo Jang, Kitae Eom, Sunwoo Lee, Hyungwoo Lee   +5 more
wiley   +1 more source