Results 71 to 80 of about 229,861 (318)
CNN-LSTM model performance comparison with/out optimization.
, 2023 CNN-LSTM model performance comparison with/out optimization.
Muhammad Babar (16625259) +3 more
core +1 more source
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
MostafaNabieh/Convolutional-Neural-Network-CNN: CNN Project
, 2020 Cnn project by Tensorflow ...
Mostafa Nabieh, Mostafa Nabieh (8597619)
core +1 more source
Shaping Carbon Nitrides for Advanced Macrostructures
Advanced Materials Technologies, EarlyView.This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley +1 more source
, 2017 CNN-2 is composed of four layers: two convolutional layers, one fully connected layer, and an output layer.
No-Sang Kwak (3772630) +2 more
core +1 more source
At Home Detection of Ovarian Health Biomarker in Menstruation Blood
Advanced Materials Technologies, EarlyView.A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon +3 more
wiley +1 more source
Sentiment Analysis of ChatGPT on Indonesian Text using Hybrid CNN and Bi-LSTM
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)This study explores sentiment analysis on Indonesian text using a hybrid deep learning approach that combines Convolutional Neural Networks (CNN) and Bidirectional Long Short-Term Memory (Bi-LSTM).
Vincentius Riandaru Prasetyo +2 more
doaj +1 more source
, 2018 Eight visual fields correctly discriminated by the CNN: control cases from the BD data set with G program test pattern (a-b) and the RT data set with 24–2 test pattern (c-d); EG cases from the BD data set with G program test pattern (e-f) and the RT data
Şerife Seda Kucur (4512340) +2 more
core +1 more source
CNN-BiLSTM-attention serial structure model.
, 2023 The problem of dust pollution in the open-pit coal mine significantly impacts the health of staff, the regular operation of mining work, and the surrounding environment. At the same time, the open-pit road is the largest dust source.
Caiwang Tai (12506662) +6 more
core +1 more source
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
Advanced Robotics Research, EarlyView.How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source