TSMixer- and Transfer Learning-Based Highly Reliable Prediction with Short-Term Time Series Data in Small-Scale Solar Power Generation Systems by Younjeong Lee, Jongpil Jeong

“…In the process of developing a prediction model suitable for the target domain by utilizing multi-source data, we propose a data similarity evaluation method using DTW, which demonstrates excellent performance with low error rates in the MSE and MAE metrics compared with conventional long short-term memory (LSTM) and Transformer models. …”
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MODELLING TOURISM DEMAND USING GOOGLE ANALYTICS: A CASE STUDY OF PORTUGAL’S ALENTEJO REGION by Maria Gorete Ferreira Dinis, Maria Celeste Eusébio, Zélia Breda, Ana Madaleno

“…In order to achieve the research objectives, the Alentejo region in Portugal was selected as a case study. …”
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To Evaluate the Effect of Structured Training Program about Premenstrual Syndrome on the Knowledge and Perception of Nursing Students at a Government Nursing Teaching Institute in... by Latika, Namita Batra, Pushpa Dahiya

“…Results: The pretest group exhibited a lower mean knowledge score (M = 25.0000, standard deviation (SD) =8.26225, standard error (SE) =0.55704) than the posttest group (M = 29.4773, SD = 9.64315, SE = 0.65014). …”
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Automatic Diagnosis of Microgrid Networks’ Power Device Faults Based on Stacked Denoising Autoencoders and Adaptive Affinity Propagation Clustering by Fan Xu, Xin Shu, Xiaodi Zhang, Bo Fan

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Tennis Assistance Technology Based on Dynamic Time Warping Algorithm by Penggang Wang, Pengpeng Zhang, Guanxi Fan

“…Traditional teaching methods are inefficient and difficult to quantify the correctness of actions. In view of this research, a tennis sports assistance technology based on dynamic time warping algorithm is developed. …”
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Metal Thickness Measurement Using an Ultrasonic Probe with a Linear Actuator for a Magnet-Type Climbing Robot: Design and Development by Yuki Nishimura, Cheng Wang, Wei Song

“…The inspection of oil storage tanks is a critical measure to prevent the risk of oil leakage. Therefore, research has focused on magnet-type climbing robots for automated tank inspections. …”
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Assimilating Space‐Based Thermospheric Neutral Density (TND) Data Into the TIE‐GCM Coupled Model During Periods With Low and High Solar Activity by Mona Kosary, Saeed Farzaneh, Maike Schumacher, Ehsan Forootan

“…Considerable improvements are found in forecasting TNDs after DA, that is, the Root Mean Squared Error (RMSE) is reduced by 79% and 51% during low and high solar activity periods, respectively. …”
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Design and Analysis of an Ultra-Wideband High-Precision Active Phase Shifter in 0.18 μm SiGe BiCMOS Technology by Hao Jiang, Zenglong Zhao, Nengxu Zhu, Fanyi Meng

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Performance evaluation on extended neural network localization algorithm on 5 g new radio technology by Deebalakshmi R, S Markkandan, Vinodh Kumar Arjunan

“…It obtains an AoA mean of 0.08 radians (SD = 0.014 rad), a TDoA mean of 0.020 s (SD = 0.003 s), and a FoA mean of 0.49 Hz (SD = 0.09 Hz). Its Mean Squared Error (MSE) of 1.06e6 and Signal-to-Noise Ratio (SNR) of 11.7 dB show that it attains better performance than existing ones. …”
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Efficient spheroid morphology assessment with a ChatGPT data analyst: implications for cell therapy by Takuya Sakamoto, Hiroto Koma, Ayane Kuwano, Tetsuhiro Horie, Atsushi Fuku, Hironori Kitajima, Yuka Nakamura, Ikuhiro Tanida, Yujiro Nakade, Hiroaki Hirata, Yoshiyuki Tachi, Hiroshi Sunami, Daisuke Sakamoto, Sohsuke Yamada, Naoki Yamamoto, Yusuke Shimizu, Yasuhito Ishigaki, Toru Ichiseki, Ayumi Kaneuji, Satoshi Osawa, Norio Kawahara

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Advancements in the non-invasive diagnosis of renal fibrosis by Tingting Yuan, Tingting Yuan, Tingting Yuan, Hong Wang, Hong Wang, Hong Wang, Ting Kang, Ting Kang, Ting Kang, Weihua Wu, Weihua Wu, Weihua Wu, Santao Ou, Santao Ou, Santao Ou

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Winter Oilseed Rape LAI Inversion via Multi-Source UAV Fusion: A Three-Dimensional Texture and Machine Learning Approach by Zijun Tang, Junsheng Lu, Ahmed Elsayed Abdelghany, Penghai Su, Ming Jin, Siqi Li, Tao Sun, Youzhen Xiang, Zhijun Li, Fucang Zhang

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Intelligent Environmental Health Risk Assessment System for the Elderly in Cold Regions Based on Artificial Intelligence Integrated Development Environment by Tianheng ZHANG, Yao FU, Jian GAO, Huanran XUE

“…ObjectiveThis research aims to develop a comprehensive environmental health risk prediction system for elderly populations in cold regions based on a Bayesian probability framework. …”
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VEGF Polymorphisms Related to Higher Serum Levels of Protein Identify Patients with Hepatocellular Carcinoma by Maria Eduarda Lopes Baitello, Graciele Domitila Tenani, Rafael Fernandes Ferreira, Victor Nogueira, Marcela Augusta de Souza Pinhel, Rita de Cássia Martins Alves da Silva, Renato Ferreira da Silva, Patrícia da Silva Fucuta, Moacir Fernandes de Godoy, Dorotéia Rossi Silva Souza

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Detection of litchi fruit maturity states based on unmanned aerial vehicle remote sensing and improved YOLOv8 model by Changjiang Liang, Changjiang Liang, Dandan Liu, Dandan Liu, Weiyi Ge, Weiyi Ge, Wenzhong Huang, Wenzhong Huang, Yubin Lan, Yubin Lan, Yubin Lan, Yongbing Long, Yongbing Long, Yongbing Long, Yongbing Long

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Evaluation methods and engineering applications of in-situ stress in deep, strong heterogeneity terrestrial shale oil and gas reservoirs: a case study of jurassic shales in the Yin... by Shujun Yin, Jianliang Zhang, Hucheng Deng, Hucheng Deng, Hao Qin, Wenhao Xia, Yu Du, Ming Gong, Tao Huang, Chang Li

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The FRIENDS preventive programme for reducing anxiety symptoms in children and adolescents: A systematic review and meta‐analysis by Trine Filges, Geir Smedslund, Tine Eriksen, Kirsten Birkefoss, Malene Wallach Kildemoes

“…Six studies did not report data that enabled calculation of effect sizes and standard errors. Two studies had partial overlap of data to other studies used, and two were written in Persian. …”
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Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned From the IPIN 2018 Competition by Valerie Renaudin, Miguel Ortiz, Johan Perul, Joaquin Torres-Sospedra, Antonio Ramon Jimenez, Antoni Perez-Navarro, German Martin Mendoza-Silva, Fernando Seco, Yael Landau, Revital Marbel, Boaz Ben-Moshe, Xingyu Zheng, Feng Ye, Jian Kuang, Yu Li, Xiaoji Niu, Vlad Landa, Shlomi Hacohen, Nir Shvalb, Chuanhua Lu, Hideaki Uchiyama, Diego Thomas, Atsushi Shimada, Rin-Ichiro Taniguchi, Zhenxing Ding, Feng Xu, Nikolai Kronenwett, Blagovest Vladimirov, Soyeon Lee, Eunyoung Cho, Sungwoo Jun, Changeun Lee, Sangjoon Park, Yonghyun Lee, Jehyeok Rew, Changjun Park, Hyeongyo Jeong, Jaeseung Han, Keumryeol Lee, Wenchao Zhang, Xianghong Li, Dongyan Wei, Ying Zhang, So Young Park, Chan Gook Park, Stefan Knauth, Georgios Pipelidis, Nikolaos Tsiamitros, Tomas Lungenstrass, Juan Pablo Morales, Jens Trogh, David Plets, Miroslav Opiela, Shih-Hau Fang, Yu Tsao, Ying-Ren Chien, Shi-Shen Yang, Shih-Jyun Ye, Muhammad Usman Ali, Soojung Hur, Yongwan Park

“…The accuracy score corresponds to the third quartile (75^th percentile) of an error metric that combines the horizontal positioning error and the floor detection. …”
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Demonstration of 50 Gbps Long-Haul D-Band Radio-over-Fiber System with 2D-Convolutional Neural Network Equalizer for Joint Phase Noise and Nonlinearity Mitigation by Yachen Jiang, Sicong Xu, Qihang Wang, Jie Zhang, Jingtao Ge, Jingwen Lin, Yuan Ma, Siqi Wang, Zhihang Ou, Wen Zhou

“…The 4600 m long-distance D-band transmission experiment demonstrated that the proposed 2D-CNN post-processing method achieved a Bit Error Rate (BER) of 5.3 × 10⁻³ at 8 dBm optical power, satisfying the soft-decision forward error correction (SD-FEC) criterion of 1.56 × 10⁻² with a 15% overhead. …”
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Longitudinal association of homocysteine with depressive and anxiety symptoms among urban adults: healthy aging in neighborhoods of diversity across the life span study by Michael F. Georgescu, May A. Beydoun, Christian A. Maino Vieytes, Marie T. Fanelli-Kuczmarski, Jason Ashe, Hind A. Beydoun, Sharmin Hossain, Nicole Noren Hooten, Michele K. Evans, Alan B. Zonderman

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