Results 181 to 190 of about 603,409 (311)

DrugBLIP: exploring the protein-molecule interaction mechanisms with a multi-task learning graph transformer. [PDF]

Bioinformatics
Wang R, Gao X, Zhao P.
europepmc   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Detailed Delineation of the Fetal Brain in Diffusion MRI via Multi-Task Learning. [PDF]

IEEE Trans Med Imaging
Karimi D, Calixto C, Snoussi H, Li B, Cortes-Albornoz MC, Velasco-Annis C, Rollins C, Pierotich L, Jaimes C, Gholipour A, Warfield SK.   +10 more
europepmc   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

Advanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao, Chongyang Hao, Karol Viviana Mejia‐Centeno, Malik Dilshad Khan, Shang Wang, Longqiu Li, Yanhong Tian, Andreu Cabot, Qing Sun   +8 more
wiley   +1 more source

Carcinogenicity prediction via multi-task learning of cross-organ representations with attention mechanisms. [PDF]

Brief Bioinform
Song Y, Choi H, Yoo S.
europepmc   +1 more source

Advances in Magnesium‐Based Thermoelectrics: A Critical Review

Advanced Materials, EarlyView.
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang, Li Zhang, Nan‐Hai Li, Yan‐Ling Yang, Xiao‐Lei Shi, Zhi‐Gang Chen   +5 more
wiley   +1 more source

Vision-Based Environmental Sensing for Flood Risk Forecasting: Dataset Relabeling and Temporal Multi-Task Learning. [PDF]

Sensors (Basel)
Lee S, Park G.
europepmc   +1 more source

The CoNLL 2007 shared task on dependency parsing

, 2007
The Conference on Computational Natural Language Learning features a shared task, in which participants train and test their learning systems on the same data sets.
McDonald, Ryan, Kübler, Sandra, Hall, Johan, Nivre, Joakim, Riedel, Sebastian, Yuret, Deniz, Nilsson, Jens   +6 more
core  

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

A multi-task learning approach combining regression and classification tasks for joint feature selection. [PDF]

Sci Rep
Cao H, Rajan S, Hahn B, Kocak E, Brenner M, Hess F, Schefzik R, Durstewitz D, Koppe G, Schwarz E, Schneider-Lindner V.   +10 more
europepmc   +1 more source