Results 131 to 140 of about 143,911 (316)

Automatic Bi-LSTM Architecture Search Using Bayesian Optimisation for Vehicle Activity Recognition

, 2023
This paper presents a novel method to find optimal Bidirectional Long-Short Term Memory Neural Network (Bi-LSTM) using Bayesian Optimisation method for vehicle trajectory classification.
AlZoubi, A., Radhakrishnan , R.
core   +1 more source

Unveiling the Uncharted Potential of 2D Materials in Li/Na–S Batteries: A Paradigm Shift From Graphene

Advanced Science, EarlyView.
This review explores emerging 2D materials beyond graphene, including graphdiyne, phosphorene, borophene, siloxene, MBene, antimonene, and germanene for Li/Na–S batteries. It analyzes their roles as sulfur hosts, metallic anode protectors, separators, and electrolyte fillers, emphasizing polysulfide suppression, dendrite inhibition, and interfacial ...
Naveen Kumar T. R, Xuebing Zhu, Yao‐Jie Lei, Lei Zhang, Hua Kun Liu, Weihong Lai, Guoxiu Wang, Yun‐Xiao Wang   +7 more
wiley   +1 more source

Overview of the predictions on 25 EOP(j) clips made by the human veterinarian experts and by one C-LSTM-2 instance, trained only on PF.

, 2022
The labels for the C-LSTM-2 were thresholded above 0 (same threshold as for the experts). The behavior symbols in the Behavior column are explained in Table 3.
Sofia Broomé (12197360), Maheen Rashid-Engström (12197366), Hedvig Kjellström (12197369), Pia Haubro Andersen (3950096), Katrina Ask (12197363)   +4 more
core   +1 more source

NICE: A Two‐Step Non‐Invasive Framework for Embryo cfDNA Read Enrichment and Quality Assessment

Advanced Science, EarlyView.
The non‐invasive NICE framework, built on an ensemble stacking machine learning model, prioritizes embryos by analyzing cell‐free DNA from spent culture medium. By integrating multimodal signals, including genomic and epigenetic profiles, this automated approach standardizes morphological assessment without human bias, paving the way for more precise ...
Xueya Zhou, Shu Ding, Zhenyi Zhang, Qiaoling Shangguan, Jie Qiao, Peijie Zhou, Yidong Chen   +6 more
wiley   +1 more source

LSTM-Autoencoder based anomaly detection for indoor air quality time series data

, 2023
Anomaly detection for indoor air quality (IAQ) data has become an important area of research as the quality of air is closely related to human health and well-being. However, traditional statistics and shallow machine learning-based approaches in anomaly
Mikael Boulic (13433256), Yuanyuan Wei (233952), Seyit Camtepe (11854775), Wen Xu (292544), Julian Jang-Jaccard (9657695), Fariza Sabrina (9832118)   +5 more
core   +1 more source

Health system response to climate-related shocks in a lower-middle-income country setting: A comparative study of floods and droughts in Pakistan

Global Public Health
Climate-related shocks in Pakistan, particularly floods and droughts, are increasingly disrupting essential health services and worsening existing vulnerabilities. Despite expanded disaster management structures, the health system’s ability to anticipate,
Marianne Moussallem, Shehla Zaidi, Kate Gooding, Rabia Najmi, Nousheen Akber Pradhan, Ibrahim R. Bou-Orm, Sophie Witter   +6 more
doaj   +1 more source

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source

Start4All: protocol for evaluating TB screening and diagnostic tests and test algorithms in the community and lower care levels in seven high-burden countries

IJTLD Open
BACKGROUND: Despite advances in TB care, approximately 2.4 million people with TB remain undiagnosed or unreported each year. A key contributor to these ‘missed millions’ is that major diagnostic gaps persist especially among underserved populations ...
R.L Byrne, M.Y.R. Henrion, E.R Adams, S. Banu, J. Bimba, A. Choko, A.J. Codlin, A.I. Cubas Atienzar, T. Garg, V. Iem, S. John, P. MacPherson, M. Sander, V. Santos, S.B. Squire, L.N. Quang Vo, S. Wandiga, J. Creswell, T. Wingfield, on behalf of Start4All Investigators, N. Kontogianni, A. McCoy, E. Worrall, O.M. Akinwande, J. Read, A. Choko, C.K. Banda, C. Mbuli, S.M.M. Rahman, S. Ahmed, A.K. Saha, S. Kabir, M.K.M. Uddin, S. Choudhury, T. Rahman, S. Miah, N.N. Ruhee, K.I.A. Chowdhury, R.Q. Gurgel, S.A. Abdulkarim, M.O. Iwakun, J.A. Agaya, A.O. Okumu, I.A. Omondi, N.T.T. Nguyen, H.T. Nguyen   +45 more
doaj   +1 more source

Kernel Corrector LSTM

Forecasting methods are affected by data quality issues in two ways: 1. they are hard to predict, and 2. they may affect the model negatively when it is updated with new data. The latter issue is usually addressed by pre-processing the data to remove those issues.
Rodrigo Tuna, Yassine Baghoussi, Carlos Soares, João Mendes-Moreira 0001   +3 more
openaire   +4 more sources

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +6 more
wiley   +1 more source