Results 191 to 200 of about 28,119 (261)

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling, Maxwell Hogan, Abdulla Tammam, Nabil Aouf   +3 more
wiley   +1 more source

GWO-Based Joint Optimization of Millimeter-Wave System and Multilayer Perceptron for Archaeological Application. [PDF]

Sensors (Basel)
Marot J, Zidane F, El-Abed M, Lanteri J, Dauvignac JY, Migliaccio C.   +5 more
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Multilayer perceptron and support vector regression models for feline parturition date prediction. [PDF]

Heliyon
Sananmuang T, Mankong K, Chokeshaiusaha K.   +2 more
europepmc   +1 more source

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

Remote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang, Limin Hua, Lianguo Wang, Jiazhen Li, Rui Dong, Siwei Yang   +5 more
wiley   +1 more source

Inferring Brown Bear Hair Snare Interactions by Automatically Detecting Bipedalism on Camera Trap Images Using Pose Estimation and a Multilayer Perceptron

Remote Sensing in Ecology and Conservation, EarlyView.
This study proposes an automated method to infer brown bear hair snare interactions by detecting bipedal behavior in camera‐trap images using a pose estimation model and a multilayer perceptron (MLP). A YOLO‐based model, fine‐tuned from humans and dogs to a custom dataset, achieved high performance (≈93% keypoint precision and ≈96% classification ...
Arnau Campanera‐Moliné, Víctor Sazatornil, Lluís Brotons, Felipe Lumbreras Ruiz, Robert Benavente, Maguiña Ramilo‐Henry, Cristina Ramos, Santiago Palazón, Daniel Ponsa   +8 more
wiley   +1 more source

Mechanism and Multilayer Perceptron prediction model of the removal of <i>α</i>-terpineol, terpinen-4-ol and carvone from pasteurized citrus juices by <i>β</i>-cyclodextrin encapsulation. [PDF]

Front Nutr
Mai R, Xue S, Ren J, Fan G, Yang J, Huang L, Li G, Cheng Y, Wang Q, Yang Y, Huang Z, Feng Y, Liu W, Yu A, Feng J.   +14 more
europepmc   +1 more source

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

Sustainable Development, EarlyView.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella, Izni Zahidi, Chow Ming Fai, Chukwuma Okolie, Quoc Bao Pham   +4 more
wiley   +1 more source

Multilayer Perceptron-Based Wearable Exercise-Related Heart Rate Variability Predicts Anxiety and Depression in College Students. [PDF]

Sensors (Basel)
Li X, Zou L, Li H.
europepmc   +1 more source

Direct Triboelectric Programming of a Ferroelectric Synaptic Transistor for Neuromorphic Tactile Perception

Small, EarlyView.
Triboelectric signals directly program a ferroelectric synaptic transistor, enabling cumulative polarization‐controlled conductance modulation and neuromorphic tactile perception based on force‐ and frequency‐dependent mechanical stimuli. ABSTRACT Triboelectric nanogenerators provide a direct electrical interface to mechanical stimuli, yet most ...
Inhwa Lee, Jiwoon Jung, Youngmin Lee, Sejoon Lee   +3 more
wiley   +1 more source