Results 251 to 260 of about 20,008 (316)

Multi-view text classification through integrated RNN autoencoder learning of word, sentence, emotion and paragraph representations. [PDF]

Sci Rep
Ding Y, Shalaby M, Singh NSS, Alfilh RHC.   +3 more
europepmc   +1 more source

Reclaiming Anatomy as Method: From Morphological Reasoning to Clinical Relevance

Clinical Anatomy, EarlyView.
ABSTRACT In recent decades, molecular biology and omics technologies have profoundly reshaped biomedical research, with genomics, proteomics, and other high‐throughput approaches dominating scientific agendas and funding priorities. Within this molecular paradigm, however, the anatomical sciences face an epistemic and institutional tension: morphology,
Katia Cortese, Marco Frascio
wiley   +1 more source

Text guided cross attentive multimodal learning with visual feature modulation for automated skin lesion detection. [PDF]

Sci Rep
Suresh P, Keerthika P, Kumar ARN.
europepmc   +1 more source

Why Are Consumers Ambivalent About AI‐Generated Images? The Moderating Role of Commercial Versus Noncommercial Content Type

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Grounded in ambivalence theories, this research examined factors shaping consumer ambivalence toward AI‐generated content and investigated differences between commercial and noncommercial contexts. As a preliminary study, sentiment analysis of Reddit data using a support vector machine (SVM) revealed that most consumer sentiment toward AI ...
Garim Lee, Jinsu Park, Hye‐Young Kim, Divya Manoj   +3 more
wiley   +1 more source

Editorial for the Special Issue "Medical Data Processing and Analysis-2nd Edition". [PDF]

Diagnostics (Basel)
Mustafa WA, Alquran H.
europepmc   +1 more source

Artificial Intelligence Tools for Carbon Nanotube Research: Opportunities From Synthesis to Applications

Carbon and Hydrogen, EarlyView.
Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao, Fei Wang, Qixuan Cai, Aike Xi, Kangkang Wang, Khaixien Leu, Rufan Zhang   +6 more
wiley   +1 more source

Hootation: A GUI and API library for ontology validation and verbalization. [PDF]

Proc IEEE Int Conf Semant Comput
Amith M, Hao X, Manuel W, Li M, Rao S, Roberts K, Xu H, Gong Y, Manion F, Tao C, Cui L.   +10 more
europepmc   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Industrial robot transmission components cross-machines fault diagnosis via fault intrinsic representation and channel self-healing under sensor failure. [PDF]

Sci Rep
Yao Z, Zhao H, Wang Y, Xu C.
europepmc   +1 more source

Accelerating the Roll‐Out of Modular Plants: From Engineering and Approval to Operation of Energy‐Efficient Modular Plants

Chemie Ingenieur Technik, EarlyView.
In the ENPRO REUNION project, a manufacturer‐independent modular plant concept was demonstrated by commissioning a pilot plant that integrated modules from different vendors and by expanding the module pool to include extraction and crystallization units.
Laura Marsollek, Mathias Schmitz, Sascha Lamm, Markus Heinbücher, Isabell Viedt, Shreyas Parbat, Peter Pelz, Leon Urbas, Norbert Kockmann   +8 more
wiley   +1 more source