Results 141 to 150 of about 1,209 (228)

A Scalable and Resource‐Efficient Pipelined p‐Computer for Probabilistic Ising Machines

Advanced Intelligent Systems, EarlyView.
(a) Block diagram of the portfolio optimization problem: given M assets, the goal is to determine the optimal weights w that maximize the expected return (based on the mean historical assets return u), while minimizing the risk, quantified by the assets covariance matrix S.
Deborah Volpe, Eleonora Raimondo, Andrea Grimaldi, Pedram Khalili Amiri, Stefano Chiappini, Anna Giordano, Mario Carpentieri, Hyunsoo Yang, Massimo Chiappini, Giovanni Finocchio   +9 more
wiley   +1 more source

Practical Computational Exploration of Chemical Reaction Space: Assessing the Chemical Stability of Active Pharmaceutical Ingredients Under Acidic Conditions

Angewandte Chemie, EarlyView.
Metadynamics simulations drive automated reaction exploration of acid‐catalysed drug degradation, generating a network spanning 1720 species and 2471 elementary steps. QM‐based filtering reduces the network to eight candidate pathways for rigorous DFT refinement and microkinetic modelling.
Julius Seumer, Maria Harris Rasmussen, Oriana Brea, Mikko Muuronen, Andreas H. Göller, Jan H. Jensen   +5 more
wiley   +2 more sources

LLM‐Based Multimodal Robotic Endoscope Control Framework for Enhancing Human–Robot Interaction in Minimally Invasive Surgery

Advanced Intelligent Systems, EarlyView.
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang, Wing Yin Ng, Qi Dou, Xixin Wu, Shannon Melissa Chan, Yunhui Liu, Philip Wai Yan Chiu, Zheng Li   +7 more
wiley   +1 more source

Bayesian Optimization–Reinforcement Learning Hybrid Framework for a‐IGZO Thin‐Film Transistor Compact Model Parameter Extraction in 2T0C Dynamic Random Access Memory Applications

Advanced Intelligent Systems, EarlyView.
A training‐free two‐stage BO–RL framework extracts compact model parameters for a‐IGZO TFTs, reaching BO‐level fitting quality at a constant per‐simulation optimization cost. Bayesian optimization performs exploration and provides an optimized starting point.
Seunghyun Son, Taejun Ha, Taeyoung Nam, Yoonyoung Chung, Sunmean Kim   +4 more
wiley   +1 more source

Balancing Exploration and Exploitation Through a Sequential Hybrid of Roach Infestation and Mayfly Algorithms for Constrained Engineering Design Optimization

AI &Innovation, EarlyView.
ABSTRACT Maintaining an effective balance between exploration and exploitation is essential during optimization processes, from mathematical functions to more complex problems such as constrained engineering design optimization, particularly when addressing highly nonlinear issues with numerous local optima and strict feasibility requirements.
Enrique Lizárraga, Fevrier Valdez, Oscar Castillo, Patricia Melin   +3 more
wiley   +1 more source

Research on Diaphragm Pump Fault Diagnosis Method Based on Res‐DCB‐Net

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Nonstationary pressure pulsation signals of diaphragm pumps contain strong background noise and coupled characteristics. This makes it challenging to extract incipient fault features and to decouple faults with similar physical mechanisms. To address these limitations, this paper proposes a spatiotemporal fault diagnosis model named Res‐DCB ...
Jiahui Wang, Kaili Zhang, Yongxing Song, Zhaoxin Ma, Sitong Guan, Rongwang Chai, Kexiang Ceng, Jingting Liu   +7 more
wiley   +1 more source

Comparative analysis of cytoarchitectonic and neurochemical aspects of the globus pallidus in the rock cavy (Kerodon rupestris) and the common marmoset (Callithrix jacchus)

The Anatomical Record, EarlyView.
Abstract The globus pallidus (GP), a subcortical structure within the basal ganglia, plays a crucial role in modulating cortico‐subcortical circuits related to motor control and associative/limbic functions. However, the cytoarchitectonic and neurochemical organization of this structure remains poorly characterized in naturally existing wild‐type ...
Lavínnya Yáskara de Aquino Matoso, Yasmin Pinto Fernandes Albuquerque, Karina Maia Paiva, Rodrigo Freire Oliveira, Nelyane Nayara Martins de Santana, Expedito Silva do Nascimento‐Júnior, Rovena Clara G. J. Engelberth, Jeferson de Souza Cavalcante, Adhil Bhagwandin, Paulo Leonardo Araújo de Góis Morais, José Rodolfo Lopes de Paiva Cavalcanti   +10 more
wiley   +1 more source

Incremental refinement of relevance rankings: Balancing relevance depth and scope

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Delivering both relevant and topically diverse results is a key challenge in information retrieval (IR). This study introduces a hybrid method that incrementally refines rankings by combining probabilistic topic modeling (latent dirichlet allocation [LDA]) with citation‐based pennant retrieval grounded in Relevance Theory (RT), optimizing for ...
Müge Akbulut, Yaşar Tonta
wiley   +1 more source

Anodal Transcranial Direct Current Stimulation Improves Social Behavior Alongside Neuroplastic Changes in a Tsc2+/− Rat Model of Autism Spectrum Disorder

Autism Research, EarlyView.
ABSTRACT Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by altered synaptic connectivity and network organization, resulting in profound impairments in social communication and interaction. Transcranial direct current stimulation (tDCS) represents a promising approach to modulate maladaptive plasticity associated with ASD;
Antonia Ramme, Rebecca Winter, Natalia Jarzebska, Fatih Ögel, Marten Julian Richter, Iveta Vojtechova, Christine Winter, Tomas Petrasek, Robert Waltereit, Nadine Bernhardt   +9 more
wiley   +1 more source

Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models

Clinical Anatomy, EarlyView.
ABSTRACT The aim of this study is to perform high accuracy sex prediction from clavicle images using proposed hybrid deep learning models and traditional deep learning models. The clavicle of 807 female and 805 male individuals obtained from Computed Tomography were segmented in 3D format and saved in jpeg format as superior–inferior and right–left ...
Yusuf Secgin, Muhammet Cakmak, Deniz Senol, Seren Kaya, Oğuzhan Oztürk, Oğuzhan Harmandaoğlu, Hatice Yenigül, Eslem Yaren Bıyık, Omer Onbaş   +8 more
wiley   +1 more source