Results 121 to 130 of about 315 (224)

Drivers of fishermens'livelihood resilience and transitioning to ecological farming in Yangtze River,China:From PLS-SEM and fs/QCA. [PDF]

PLoS One
Wang X, Zheng J, Chen T.
europepmc   +1 more source

Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints

Advanced Intelligent Systems, EarlyView.
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang, Lei Ma, Muhua Zhang, Kai Shen   +3 more
wiley   +1 more source

Mobile phone dependency and adolescent exercise participation: a CB-SEM and fsQCA study on the roles of self-control, time management, and health awareness. [PDF]

Front Psychol
Zhang Q, Li C, Liu J.
europepmc   +1 more source

Game theory and MCDM-based unsupervised sentiment analysis of restaurant reviews. [PDF]

Appl Intell (Dordr), 2023
Punetha N, Jain G.
europepmc   +1 more source

Towards Advanced Intelligent and Perceptive Soft Grippers

Advanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim, Hayeon Shin, Seik Park, Changbeom Shim, Seonggun Joe   +4 more
wiley   +1 more source

Capability-environment configurations driving exploratory innovation in art entrepreneurs: A mixed-methods configurational study. [PDF]

PLoS One
Chai Z, Yang N.
europepmc   +1 more source

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang, Zichao Wang, Zhiwei He, Qingquan Wei, Yong Zuo, Linzhen Nie, Zhishuai Yin   +6 more
wiley   +1 more source

Transforming oncology clinical trial matching through neuro-symbolic, multi-agent AI and an oncology-specific knowledge graph: a prospective evaluation in 3804 patients. [PDF]

ESMO Real World Data Digit Oncol
Loaiza-Bonilla A, Yost C, Kurnaz S, Tuysuz E, Thaker NG, Giritlioglu D, Noel Meza JP.   +6 more
europepmc   +1 more source

Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing

Advanced Intelligent Systems, EarlyView.
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi, Teng Zhang, Yuqi Li, Yaoyu Tao, Bonan Yan, Yuchao Yang   +5 more
wiley   +1 more source

Dielectric Elastomer Actuators as Safe and Effective Tools for Mechanostimulation of Human Cells

Advanced Intelligent Systems, EarlyView.
Replicating physiological forces is crucial for realistic cell models. Dielectric elastomer actuators (DEAs) offer a soft alternative, though their high voltages raised toxicity concerns. We demonstrate that DEA stimulation causes no cell damage, cell death or cell‐cycle disruption, while activating mechanosensitive responses.
Simon Holzer, Chaimae Bahou, Noe Syfrig, Katia Monastyrskaya, Yoan Civet, Ali Hashemi Gheinani, Yves Perriard   +6 more
wiley   +1 more source