Results 81 to 90 of about 1,783 (184)

Computationally Driven Advances in Cu‐CNT On‐Chip Interconnect Materials: From First Principles to Machine Learning

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang   +11 more
wiley   +1 more source

A Hybrid Fuzzy–Support Vector Machine Framework for Real‐Time Dust Detection and Thermal Mapping in Photovoltaic Panels

open access: yesEnergy Science &Engineering, EarlyView.
A hybrid Fuzzy–SVM framework for real‐time dust detection and thermal mapping in PV panels. ABSTRACT Dust accumulation significantly degrades the energy output of photovoltaic (PV) panels, particularly in arid and semi‐arid regions. While existing studies have separately explored image‐based dust detection, environmental modeling, and machine learning (
Debasish Sarker   +4 more
wiley   +1 more source

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

open access: yesEnergy Science &Engineering, EarlyView.
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan   +4 more
wiley   +1 more source

Microengineering the Liver: Strategies for Constructing Functional Liver‐on‐a‐Chip Devices

open access: yesExploration, EarlyView.
This review summarizes recent advances in liver‐on‐a‐chip (LOC) technologies, including fabrication strategies and functional integration approaches, and discusses their promising applications in drug screening and related biomedical fields. ABSTRACT Reliable in vitro liver models are indispensable for researching liver diseases and developing ...
Jie Wang   +7 more
wiley   +1 more source

Toxicological Evaluation of the Undesirable Components in Processed Infant Foods Using Artificial Intelligence

open access: yesFuture Postharvest and Food, EarlyView.
The detection of toxins in baby food using artificial intelligence. ABSTRACT Infant foods and baby formulas are becoming increasingly popular across the globe owing to their ease of consumption and nutritional value specific to infants. Impurities may find their way into the food chain at any point from the acquisition of raw materials to final ...
Poornima Singh   +3 more
wiley   +1 more source

CGAS (Chloroplast Genome Analysis Suite): An automated python pipeline for comprehensive comparative chloroplast genomics

open access: yesiMetaOmics, EarlyView.
Chloroplast Genome Analysis Suite (CGAS) is a comprehensive bioinformatics pipeline that streamline chloroplast genome analysis from raw sequencing reads to publication‐ready outputs. The suite integrates 14 specialized modules organized across three sequential phases.
Abdullah, Rushan Yan, Xiaoxuan Tian
wiley   +1 more source

Towards Water, Food and Energy Security: The Global Challenges and Possible Solutions for a Holistic Vision of Sustainability

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT This invited paper gives an overview of the challenges the world is facing and offers a possible solution for water and food security within the holistic integrated concept of the water–energy–food (WEF) nexus. The paper summarizes the experience the author gained through working on various research projects at national and international ...
Ragab Ragab
wiley   +1 more source

Deep Optical Cryptography: Joint Encryption and LC Lens Key Generation for Secure Displays

open access: yesJournal of the Society for Information Display, EarlyView.
We propose a learning‐based visual cryptography system using a liquid crystal modulator for distance‐dependent optical decryption. By jointly optimizing ciphertext images and LC‐based optical keys with shift‐aware training, the framework ensures secure plaintext recovery only at designated distances.
Ting‐Yu Chen   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy