Results 31 to 40 of about 10,214 (201)

Improving algorithms for predicting electric vehicle energy consumption to accurately estimate power reserve based on real terrain parameters and current meteorological factors

Transportation and Information Technologies in Russia
Background. Accurate forecasting of the energy consumption of electric vehicles is a critically important task for improving the efficiency of vehicle operation and reducing drivers' anxiety about power reserve.
Vladislav V. Matviyuk
doaj   +1 more source

HYDRABOOST: A MULTI-CLASS INTRUSION DETECTOR USING SPATIAL AND TEMPORAL FEATURE ENHANCED CLASSIFICATION [PDF]

Proceedings on Engineering Sciences
As technology advances at a quick pace and the Internet of Things (IoT) becomes more widely used, cyberattacks have become more frequent and sophisticated, creating serious security issues.
Kamaljit Singh Saini , Sumit Chaudhary
doaj   +1 more source

Robust Stitching Interface and Deep Learning Empowered Hydrogel Human‐Machine Interface

Advanced Science, EarlyView.
A molecular design strategy is presented that exploits synergistic carboxylate anion–quaternary ammonium interactions to simultaneously strengthen the hydrogel–PET interface and the bulk hydrogel network. Integrated with deep learning signal processing, the stable hydrogel–PET interface enables consistent signal acquisition and reliable human‐machine ...
Hao Dong, Yiming Luo, Chuanliu Liu, Mahamood Modupe Rasheedat, Wenjiayi Tan, Fangyu Zhao, Yixue Zhang, Chris Connor, Hua Hou, Hamdy Khamees Thabet, Ben Bin Xu, Huige Wei   +11 more
wiley   +1 more source

Hybrid Decomposition ICEEMDAN-EWT Deep Learning Framework for Wind Speed Forecasting

Journal of Applied Informatics and Computing
Accurate wind speed forecasting plays a crucial role in supporting early warning systems for extreme wind events. However, the inherent non-linearity and non-stationarity of wind speed data pose significant challenges.
Dedi Arman Alif Hidayat, Muhamad Hilmil Muchtar Aditya Pradana, Ahmad Saikhu   +2 more
doaj   +1 more source

MOBILE U-NET V3 AND BILSTM: PREDICTING STOCK MARKET PRICES BASED ON DEEP LEARNING APPROACHES

Jordanian Journal of Computers and Information Technology, 2023
The development of reliable stock market models has enabled investors to make better-informed decisions. Investors may be able to locate companies that offer the highest dividend yields and lower their investment risks by using a trading strategy.
D Murahari Reddy, Balamanigandan R.
doaj   +1 more source

BiLSTM-VHP: BiLSTM-Powered Network for Viral Host Prediction

Recorded history shows the long coexistence of humans and animals, suggesting it began much earlier. Despite some beneficial interdependence, many animals carry viral diseases that can spread to humans. These diseases are known as zoonotic diseases. Recent outbreaks of SARS-CoV-2, Monkeypox and swine flu viruses have shown how these viruses can disrupt
Azher Ahmed Efat, Farzana Islam, Annajiat Alim Rasel, Munima Haque   +3 more
openaire   +2 more sources

Kvistur 2.0: a BiLSTM Compound Splitter for Icelandic

CoRR, 2020
In this paper, we present a character-based BiLSTM model for splitting Icelandic compound words, and show how varying amounts of training data affects the performance of the model. Compounding is highly productive in Icelandic, and new compounds are constantly being created.
Jón Daðason, David Erik Mollberg, Hrafn Loftsson, Kristín Bjarnadóttir   +3 more
openaire   +3 more sources

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Prediction of RNA m6A Methylation Sites in Multiple Tissues Based on Dual-branch Residual Network

Shengwu huaxue yu shengwu wuli jinzhan
ObjectiveN6-methyladenosine (m6A), the most prevalent epigenetic modification in eukaryotic RNA, plays a pivotal role in regulating cellular differentiation and developmental processes, with its dysregulation implicated in diverse pathological conditions.
GUO Xiao-Tian, GAO Wei, CHEN Dan, LI Hui-Min, TAN Xue-Wen   +4 more
doaj   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source