Results 111 to 120 of about 79,498 (272)

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

open access: yesAdvanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai   +10 more
wiley   +1 more source

Analog memristive synapse based on topotactic phase transition for high-performance neuromorphic computing and neural network pruning. [PDF]

open access: yesSci Adv, 2021
Mou X   +14 more
europepmc   +1 more source

Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

The Generalization-Stability Tradeoff In Neural Network Pruning

open access: yesCoRR, 2019
NeurIPS 2020 conference ...
Brian R. Bartoldson   +3 more
openaire   +3 more sources

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella   +5 more
wiley   +1 more source

Genetic Diversity, Adaptation, Wild Introgression, and Coat Color Mutation of Golden Yak

open access: yesAnimal Research and One Health, EarlyView.
Genetic diversity, adaptation, wild introgression, and coat color mutation of golden yak from two populations on the Qinghai‐Xizang Plateau. ABSTRACT The golden yak lives on the Qinghai‐Xizang Plateau with a golden coat and adapts to high altitudes and strong ultraviolet environment. The golden coat is a prominent phenotype in many domesticated species,
Huixuan Yan   +15 more
wiley   +1 more source

The Role of Microbiota Metabolites Propionic Acid, p‐Cresol, and 4‐Ethylphenyl Sulfate in Autism Susceptibility: A Systematic Review

open access: yesAutism Research, EarlyView.
ABSTRACT The etiopathogenesis of Autism Spectrum Disorder (ASD) encompasses complex interactions between genetic and environmental risk factors. The high prevalence of gastrointestinal disorders in autistic individuals has propelled a growing interest in the possible involvement of gut dysbiosis in ASD pathogenesis.
Laura Sandoni   +6 more
wiley   +1 more source

A predictive model for post-thoracoscopic surgery pulmonary complications based on the PBNN algorithm

open access: yesScientific Reports
We constructed an early prediction model for postoperative pulmonary complications after thoracoscopic surgery using machine learning and deep learning algorithms.
Cheng-Mao Zhou   +4 more
doaj   +1 more source

Compression of a Deep Competitive Network Based on Mutual Information for Underwater Acoustic Targets Recognition

open access: yesEntropy, 2018
The accuracy of underwater acoustic targets recognition via limited ship radiated noise can be improved by a deep neural network trained with a large number of unlabeled samples.
Sheng Shen, Honghui Yang, Meiping Sheng
doaj   +1 more source

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