A zenith wet delay improved model in China based on GPT3 and random forest by Shaoni Chen, Chunhua Jiang, Xiang Gao, Huizhong Zhu, Shuaimin Wang, Guangsheng Liu

“…Zenith wet delay (ZWD) is a key parameter for the precise positioning of global navigation satellite systems (GNSS) and occupies a central role in meteorological research. Currently, most models only consider the periodic variability of the ZWD, neglecting the effect of nonlinear factors on the ZWD estimation. …”
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Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA by Ali Mehrabi, Yeshwanth Bethi, Andre van Schaik, Andrew Wabnitz, Saeed Afshar

“…The hardware-optimised implementation is shown to preserve the performance of the original algorithm across multiple spatial-temporal classification problems with significantly reduced hardware requirements.…”
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Ship-DETR: A Transformer-Based Model for EfficientShip Detection in Complex Maritime Environments by Yi Wang, Xiang Li

“…To address these issues, we propose an effective ship detection algorithm—Ship Detection Transformer (Ship-DETR). …”
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Housing Price Forecasting Using AI (LSTM) by Hossein Ziyadi, Erfan Salavati, Mohammad Mahdi Lotfi Heravi

“…ObjectiveForecasting the asset prices in any market is an inseparable and critical part of research on markets. Obtaining a credible prediction of an asset's potential future price provides valuable information for investors. …”
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Intelligent cloud guidance technology based on natural language learning by Renjie TANG, Tao JIANG, Qiaojie YANG

“…The main problems existing in the current guidance system were analyzed.According to the intelligent guidance system researched in the current academic circles,a self-learning system for the disease which based on a large number of patient condition descriptions using a variety of machine learning algorithms was creatively proposed.The platform used Web crawler technology to obtain setting of the international and domestic medical institution departments and a large number of patient descriptions,which form a pathological knowledge base and a disease self-reported knowledge base.At the same time,the algorithm was innovatively constructed to combine the attention model with TextCNN to improve the accuracy of the consultation.…”
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An Ultra-high-power Electric Arc Furnace Model for Low-Frequency Non-stationary Inter-harmonics Studies by Caihua LIN, Yi ZHANG, Zhenguo SHAO, Fang LIN, Daoshan HUANG, Yan LIN

“…Ultra-high-power electric arc furnace is the main equipment of modern smelting, but its low-frequency non-stationary inter-harmonics and high-power impact will seriously affect the power quality of distribution networks. …”
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Somatotropinoma - adult disease in childhood by I. L. Nikitina, I. A. Leonova, A. O. Plaksina, D. E. Pyatnitskaya, A. Yu. Utkin

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Substantiation of the design and technological parameters of a multi-fan sprayer module by L. A. Marchenko, I. G. Smirnov, A. Yu. Spiridonov

“…As new technologies emerge, the demands placed on spraying ventilation systems are also evolving. (Research purpose) The objective of this research is to establish the design and technological specifications of the multi-fan sprayer module. …”
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Human motor control during movements with high demands by Paul Kaufmann, Willi Koller, Elias Wallnöfer, Basilio Goncalves, Clara Scheer, Juliana Exel, Olivia Froschauer, Catherine Hlavac, Mathias Wiplinger, Lorenz Zweier, Arnold Baca, Hans Kainz

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Cloud-edge collaborative data anomaly detection in industrial sensor networks. by Tao Yang, Xuefeng Jiang, Wei Li, Peiyu Liu, Jinming Wang, Weijie Hao, Qiang Yang

“…Efficient and accurate anomaly detection of sensor data is essential for guaranteeing the system's operational reliability and security. However, existing research on sensor data anomaly detection for industrial sensor networks still has several inherent limitations. …”
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PREOPERATIVE AND POSTOPERATIVE PULMONARY REHABILITATION IN PATIENTS WITH LUNG CANCER AND CHRONIC OBSTRUCTIVE PULMONARY DISEASE by S. Yu. Dobner, S. A. Tuzikov, T. S. Аgeeva, E. N. Samtsov, A. V. Dubakov, I. G. Sinilkin, A. Yu. Dobrodeev

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Use artificial neural network to recommend the lumbar spinal endoscopic surgical corridor by Chien-Min Chen, Pei-Chen Chen, Ying-Chieh Chen, Guan-Chyuan Wang

“…Objectives: The transforaminal and interlaminar approaches are the two main surgical corridors of full endoscopic lumbar surgery. …”
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Audio Feature Space Analysis for Emotion Recognition from Spoken Sentences by Lukasz SMIETANKA, Tomasz MAKA

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On an Sir Epidemic Model for the COVID-19 Pandemic and the Logistic Equation by Manuel De la Sen, Asier Ibeas

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An efficient supervised framework for music mood recognition using autoencoder‐based optimised support vector regression model by Gaurav Agarwal, Hari Om

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Contactless hearing aid designed for infants by M. Kulesza, B. Kostek, P. Dalka, A. Czyżewski

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The Interfaces Twitter Elections Dataset: Construction process and characteristics of big social data during the 2022 presidential elections in Brazil. by Sylvia Iasulaitis, Alan Demétrius Baria Valejo, Bruno Cardoso Greco, Vinicius Gonçalves Perillo, Guilherme Henrique Messias, Isabella Vicari, with the Interfaces—Center for Sociopolitical Studies of Algorithms and Artificial Intelligence

“…The "token farm" algorithm, was employed to iterate over available API keys. …”
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Optimization of IoT-Based Motion Intelligence Monitoring System by Jian Qiao, Zhendong Zhang, Enqing Chen

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CONTROLLING OF INVESTMENT PROGRAMS OF ELECTRIC ENERGY COMPANIES by N. Gryzunova, I. Kiseleva, A. Tramova

“…The proposed investment-controlling algorithm allows preventing inefficient investments.…”
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Effective Breast Cancer Classification Using Deep MLP, Feature-Fused Autoencoder and Weight-Tuned Decision Tree by Nagham Rasheed Hameed Alsaedi, Mehmet Fatih Akay

“…Our results suggest that this combination model outperforms traditional classification methods, with high accuracy and robust performance across data partitions. The main contribution of this research is the development of a new framework for deep learning. …”
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