Results 101 to 110 of about 16,939 (236)

Framewise phoneme classification with bidirectional lstm networks

, 2005
— In this paper, we present bidirectional Long Short Term Memory (LSTM) networks, and a modified, full gradient version of the LSTM learning algorithm. We evaluate bidirec-tional LSTM (BLSTM) and several other network architectures on the benchmark task ...
Graves, Alex;Schmidhuber, Jürgen, Alex Graves   +1 more
core  

State-of-Charge Estimation of Lithium-Ion Batteries Based on the CNN-Bi-LSTM-AM Model Under Low-Temperature Environments

Sensors
Accurate state-of-charge (SOC) estimation is essential for lithium-ion battery management, especially under low temperatures where traditional methods suffer from noise sensitivity and nonlinear dynamics.
Ran Li, Yiming Hao, Mingze Zhang, Yanling Lv   +3 more
doaj   +1 more source

Environmental Control for Edible Fungi Cultivation Based on Temporal Information and Deep Learning

Food Bioengineering, EarlyView.
ABSTRACT Currently, there are still prevalent issues in greenhouse environmental regulation, such as response lag, low control accuracy, and difficulty in coping with sudden environmental disturbances. To achieve high‐precision and dynamic control of the edible fungi cultivation environment, this study proposes an edible fungi environmental control ...
Xiangyan Wang, Shuangcheng Huang, Qingbo Lu, Xinyi Guo   +3 more
wiley   +1 more source

Naturalistic Affective Expression Classification by a Multi-Stage Approach Based on Hidden Markov Models

, 2011
In naturalistic behaviour, the affective states of a person change at a rate much slower than the typical rate at which video or audio is recorded (e.g. 25fps for video).
Bianchi-Berthouze, N, Nadia Bianchi-Berthouze, Meng, H, Hongying Meng   +3 more
core   +1 more source

Bi-LS-AttM: A Bidirectional LSTM and Attention Mechanism Model for Improving Image Captioning

, 2023
The discipline of automatic image captioning represents an integration of two pivotal branches of artificial intelligence, namely computer vision (CV) and natural language processing (NLP).
Xusen Wan, Tian Xie, Jinbao Zhang, Jiehua Wang, Weiping Ding   +4 more
core   +1 more source

Convolutional Bidirectional Long Short-Term Memory for Deception Detection With Acoustic Features

IEEE Access, 2018
Despite the widespread use of multi-physiological parameters for deception detection, they have been severely restricted due to the high degree of cooperation in contacting-detection.
Yue Xie, Ruiyu Liang, Huawei Tao, Yue Zhu, Li Zhao   +4 more
doaj   +1 more source

Triboelectric nanogenerators for vehicle intelligent cockpits

FlexMat, EarlyView.
Converting mechanical stimuli from drivers and vehicle motion into electrical signals, triboelectric nanogenerators provide promising interfaces toward passive, flexible, distributed and intelligent sensing for next‐generation automotive cockpits to support three core functional dimensions: driver state monitoring, vehicle state monitoring, and human ...
Haiqiu Tan, Shiquan Lü, Xiangwei Meng, Huiying Zhang, Wenxing Zhang, Dongxian Sun, Xiao Lu, Lei Wang, Haodong Zhang, William W. Yu   +9 more
wiley   +1 more source

Forecasting Sesame Price in Ethiopia Using Recurrent Neural Network Based Deep Learning Algorithms

International Journal of Computational Intelligence Systems
Sesame is Ethiopia's second-most important crop after coffee, supporting farmer incomes and contributing to foreign exchange earnings. In 2018, it generated approximately 449 million USD, and in 2010, it accounted for 14% of global exports.
Yihun Tewachew, Abebe Alemu, Asnake Wodaynew, Yohannes Mekuriaw   +3 more
doaj   +1 more source

Dynamic Sign Language Recognition in Bahasa using MediaPipe, Long Short-Term Memory, and Convolutional Neural Network

Journal of Information Systems Engineering and Business Intelligence
Background: Communication is important for everyone, including individuals with hearing and speech impairments. For this demographic, sign language is widely used as the primary medium of communication with others who share similar conditions or with ...
Ivana Valentina Lemmuela, Mewati Ayub, Oscar Karnalim   +2 more
doaj   +1 more source

Solid–Liquid Triboelectric Nanogenerators as Physicochemical Encoders for Intelligent Liquid Recognition

Interdisciplinary Materials, EarlyView.
Solid–liquid triboelectric nanogenerators are conceptualized as dynamic physicochemical encoders that encode intrinsic liquid properties into distinguishable triboelectric fingerprints. This review provides a unified framework for these platforms, covering sensing mechanisms in droplet impact, continuous flow, and immersion modes.
Mingrui Wang, Yuanzhe Liang, Lining Zhang, Tian Tang, Kean C. Aw, Kai Qian, Ziyi Dai, Bingpu Zhou, Lihua Tang   +8 more
wiley   +1 more source