Results 141 to 150 of about 31,169 (266)

Mesocorticostriatal Reinforcement Learning of State Representation and Value with Implications for the Mechanisms of Schizophrenia. [PDF]

J Neurosci
Morita K, Kumar A.
europepmc   +1 more source

Cancer Vaccine Development: Toward Artificial Intelligence‐Assisted Personalized Cell Membrane Nanovaccine

Small, EarlyView.
Cancer nanovaccines have emerged as promising alternatives to conventional cancer vaccines, which have shown limited clinical efficacy. In particular, cell membrane nanoparticle‐based nanovaccines can offer high biocompatibility and immunogenicity while preserving tumor antigens, including antigen repertoires.
Munsik Kim, Ilkoo Noh
wiley   +1 more source

DG-LSTM-SA model: A deep gated LSTM network with self-attention mechanism for power generation and load forecasting. [PDF]

PLoS One
Sun G, Zhao Y, Li J, Cui J, Qi X.
europepmc   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

Artificial intelligence BPNN optimization control strategy in intelligent buildings. [PDF]

Sci Rep
Ma Y, Fu T.
europepmc   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Missing data imputation in hourly CO measurements for air quality monitoring: a case study in the city of Salvador, Brazil. [PDF]

Environ Monit Assess
de Assis TCB, Fontes CH, Albuquerque ÉL.   +2 more
europepmc   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

steel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla, Stefano Dettori, Silvia Cateni, Marco Vannucci, Antonella Vignali, Claudio Mocci, Irene Dovichi, Davide Chionna, Lorenzo Vannini, Enrico Paluzzano, Costanzo Pietrosanti, Davide Onesti, Daniele Venier   +12 more
wiley   +1 more source

A context-free model of savings in motor learning. [PDF]

Elife
Shahbazi M, Codol O, Michaels JA, Gribble PL.   +3 more
europepmc   +1 more source

Vision language models for bridge inspections: A review of applications in image‐based damage documentation

Structural Concrete, EarlyView.
Abstract Automating bridge inspections requires more than detecting individual damage instances. It demands systems capable of describing, contextualizing, and interpreting damage in an inspection‐relevant manner. Conventional computer vision approaches, such as object detection and segmentation, primarily address visual recognition tasks and are ...
Rona Firdes Çelik, Ulas Bagci, Sylvia Kessler   +2 more
wiley   +1 more source