An Innovative Inversion Method of Potato Canopy Chlorophyll Content Based on the AFFS Algorithm and the CDE-EHO-GBM Model by Xiaofei Yang, Qiao Li, Honghui Li, Hao Zhou, Jinyan Zhang, Xueliang Fu

“…For example, it faces limitations of the growth cycle, low parameter accuracy, and single feature selection, and there is a lack of efficient and precise systematic research methods. …”
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Effects of Ageing and Sex on Complexity in the Human Sleep EEG: A Comparison of Three Symbolic Dynamic Analysis Methods by Pinar Deniz Tosun, Derk-Jan Dijk, Raphaelle Winsky-Sommerer, Daniel Abasolo

“…Symbolic dynamic analysis (SDA) methods have been applied to biomedical signals and have been proven efficient in characterising differences in the electroencephalogram (EEG) in various conditions (e.g., epilepsy, Alzheimer’s, and Parkinson’s diseases). …”
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Multi-Attribute Data-Driven Flight Departure Delay Prediction for Airport System Using Deep Learning Method by Yujie Yuan, Yantao Wang, Chun Sing Lai

“…However, it is a challenge to effectively and efficiently process multi-attribute flight data. This paper proposes a hybrid dynamic spatial-temporal long short-term memory network (LSTM) with 3D-directional multi-attribute features (3DF-DSCL) for departure flight delay prediction. …”
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Exploration of Intelligent Teaching Methods for Ideological and Political Education in Colleges and Universities under the Background of “Mass Entrepreneurship and Innovation” by Kaiqiang An

“…Therefore, this research presents a facial expression recognition approach based on facial recognition technology to address the emotional problem in intelligent teaching methods. This method can effectively and accurately identify the facial expressions of students during learning so that intelligent tools can identify students’ emotions in time, make corresponding adjustments quickly, and improve teaching efficiency. …”
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A Fault Diagnosis Method for Oil Well Electrical Power Diagrams Based on Multidimensional Clustering Performance Evaluation by Xingyu Liu, Xin Meng, Ze Hu, Hancong Duan, Min Wang, Yaping Chen

“…This high-precision diagnostic result validates the effectiveness of the method, enabling the efficient real-time monitoring of the working status of beam-pumping unit wells. …”
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Optimization of Cocoa Pods Maturity Classification Using Stacking and Voting with Ensemble Learning Methods in RGB and LAB Spaces by Kacoutchy Jean Ayikpa, Abou Bakary Ballo, Diarra Mamadou, Pierre Gouton

“…Determining the maturity of cocoa pods early is not just about guaranteeing harvest quality and optimizing yield. …”
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Cultural Cognition and Analytical Methods of Chinese and Korean Envoys in Ming Dynasty Based on Big Data Analysis Technology by Ke Wang, Lulu Tang

“…Based on the literature research, this paper determines the ontology model establishment method to efficiently detect the written records of Chinese and Korean envoys in Ming Dynasty. …”
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Multi-objective optimization of urban logistics land: a gradient-based method approach with Wuhan city as an example by Hongzan Jiao, Shuaikang Zhang

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Multi-Objective Optimization Methods for University Campus Planning and Design—A Case Study of Dalian University of Technology by Lin Qi, Chaoran Chen, Jun Dong

“…Five representative alternatives were selected and evaluated through the AHP–TOPSIS method to determine the optimal scheme. The results indicated significant improvements in energy, economic, spatial, and ecological dimensions, while also achieving quantifiable control over cultural expression. …”
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Innovation Inspired by Nature: Applications of Biomimicry in Engineering Design by Teresa Aguilar-Planet, Estela Peralta

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Online Monitoring Method for Capacitor Lifetime in Brushless DC Motor Drive Systems with DC-Link Series Switch by Zhongquan Qian, Siyang Gong, Shuxin Xiao, Zhichen Lin, Xinmin Li

“…Brushless DC motors are often used as traction motors in electric vehicles due to their high power density and efficiency. The dc-link electrolytic capacitor is the most vulnerable part of the brushless DC motor drive system, and it determines the reliability of the motor drive system. …”
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Design and Implementation of HMI For Monitoring The Imbalance of Current and Voltage Based on Calculation of Maximum Deviation Mean Value Method by Toto Tohir, Supriyanto Supriyanto, Sofyan Muhammad Ilman, Febi Ariefka Septian Putra, Raynda Bayu Sri Agustia, Hadrian Anwar, Fikhi Akmal

“…Therefore, monitoring imbalance is critical to determine the right corrective steps. This study aims to design and implement a Human-Machine Interface (HMI) as a tool to monitor voltage and current imbalance using the Calculation Maximum Deviation Mean Value (CMDMV) method. …”
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Analysis of strawberry drying behavior under a solar chimney collector using a full factorial method by Ali Serkan Avcı, Aytaç Çetinbaş, Hakan Karakaya

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FLUORESCENT DIAGNOSTIC METHOD AS A TOOL FOR COMPREHENSIVE EVALUATION OF THE HYGIENE OF NATURAL TEETH AND FIXED DENTAL PROSTHESIS CONSTRUCTIONS by A.M. Ramus, D.M. Korol, M.O. Ramus, V.O. Kurylo

“…The proposed method allows you to determine the hygienic condition in detail, makes a significant contribution to the prevention of dental diseases and improves the optimization of medical interventions. …”
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A Path-Driven Fluid Routing and Scheduling Method for Continuous-Flow Microfluidic Biochips with Delay Time Optimization by Zhisheng Chen, Bowen Liu, Hongjin Su, Zhen Chen, Genggeng Liu, Xing Huang

“…The proposed methodology provides an effective solution for the automated design of CFMBs with enhanced physical and operational efficiency.…”
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A new performance assessment method for photovoltaic module enhancing techniques based on power and cost effectiveness factor by Sakhr M. Sultan, C.P. Tso, M.Z. Abdullah, K. Sopian

“…However, existing evaluation methods do not effectively determine whether a PV cooler has achieved its maximum potential or if further improvement is possible. …”
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Digital Spectral Analysis by means of the Method of Averag Modified Periodograms Using Binary-Sign Stochastic Quantization of Signals by V. N. Yakimov

“…The aim of this work was the development of mathematical and algorithmic support, which can increase the computational efficiency of signals digital spectral analysis by this method.The solution to this problem is based on the use of binary-sign stochastic quantization for converting the analyzed signal into a digital code. …”
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Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch by Igor Gulshin, Nikolay Makisha

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Coal burst risk monitoring method based on the drilling powder of destressing drilling in coal seam and its application by Tongbin ZHAO, Yanchun YIN, Wentao REN, Qingzhi ZHANG, Jiuguo GAO, Zhigang ZHAO

“…However, due to the lack of drilling powder rate index and efficient weighing method, the drilling powder method based on destressing drilling has not been widely used. …”
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A Novel Adaptive Independent Component Analysis Method for Multi-Channel Optically Pumped Magnetometers’ Magnetocardiography Signals by Shuang Liang, Jiahe Qi, Junhuai He, Yikang Jia, Aimin Wang, Ting Zhao, Chaoliang Wei, Hongchen Jiao, Lishuang Feng, Heping Cheng

“…This study proposes an adaptive ICA method that estimates the signal-to-noise ratio (SNR) before processing to determine the number of components and selects heartbeat-related components based on their characteristic indicators. …”
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