International Journal of Eating Disorders, EarlyView.ABSTRACT Objective This study explored eating disorder and Artificial Intelligence (AI) professionals' perspectives on how AI might support eating disorder treatment. Successful implementation requires insight into implementation partners' perspectives.
J. Maas +9 more
wiley +1 more source
Editorial: Narrow and general intelligence: embodied, self-referential social cognition and novelty production in humans, AI and robots. [PDF]
Front Robot AIMarkose S +4 more
europepmc +1 more source
Sentiment Propensity Analysis of a Multimodal Chinese Corpus Using Fuzzy Logic [PDF]
Chunrong Chen
openalex +1 more source
Bioinspired Crossmodal Tactile Sensory Nerve for High‐Accurate Object Recognition
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.An artificial crossmodal sensory neuron system (ACSNS) that combines a complementary memristor with high‐sensitivity pressure–temperature bimodal sensors, which integrate tactile perception, information storage, and neuromorphic computing. With the aid of machine learning, this ACSNS presents an improved accuracy of 96.67% in recognizing temperatures ...
Delu Chen +8 more
wiley +1 more source
Multimodal Utility Data for Appliance Recognition: A Case Study with Rule-Based Algorithms. [PDF]
Sensors (Basel)Orłowski A +3 more
europepmc +1 more source
Machine Learning–Enhanced Fluorescence Cryptography with NADH‐Responsive Polymer Dots
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.This study presents a smart anticounterfeiting system using semiconducting polymer dots (Pdots) that exhibit tunable fluorescence responses to NADH. By integrating these dynamic optical signals with machine learning–based decoding, the work establishes a secure and intelligent encryption platform, showing a novel strategy that links chemical sensing ...
Zhengkun Zhan +7 more
wiley +1 more source
Advances of Emerging Memristors for In-Memory Computing Applications. [PDF]
Research (Wash D C)Chen Q, Lu L, Meng J, Xu M, Wang T.
europepmc +1 more source
AI‐driven circular economy optimization in waste management: A review of current evidence
Environmental Progress &Sustainable Energy, EarlyView.Abstract The integration of artificial intelligence (AI) and machine learning (ML) in waste management has the potential to significantly advance circular economy objectives by enhancing efficiency, reducing waste, and optimizing resource recovery. However, realising these benefits depends on addressing significant technical, economic, and systemic ...
David Bamidele Olawade +3 more
wiley +1 more source
The optimization of vocal music teaching by integrating the STEAM concept with the intelligent recommendation system. [PDF]
Sci RepSu F, Guo Q.
europepmc +1 more source