Implementasi Algoritma Mickey 2.0 untuk Mengamankan Komunikasi Data pada Perangkat Bluetooth Low Energy by Amelia Dwi Rochani, Ari Kusyanti, Fariz Andri Bakhtiar

“…Before sending data, encryption is performed on the server side using the Mickey 2.0 algorithm and the decryption process will be carried out on the Client side. The keystream results will be validated first in the test vector test. …”
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Design of upper limb muscle strength assessment system based on surface electromyography signals and joint motion by Siqi Wang, Wei Lai, Yipeng Zhang, Junyu Yao, Xingyue Gou, Hui Ye, Jun Yi, Dong Cao

“…Concurrently, shoulder joint motion data were captured using the MPU6050 sensor and processed for feature extraction. The extracted features from the sEMG and joint motion data were analyzed using three algorithms: Random Forest (RF), Backpropagation Neural Network (BPNN), and Support Vector Machines (SVM), to predict muscle strength through regression models. …”
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Micro-spring force sensors using conductive photosensitive resin fabricated via two-photon polymerization by Ningning Hu, Yucheng Deng, Lujia Ding, Lijun Men, Wenjun Zhang, Ruixue Yin

“…This model significantly reduced trial-and-error in the TPP process, accelerating the discovery of ideal fabrication conditions. …”
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Specific reaction conditions for efficient automated 68Ga-radiolabeling of the FAP-2286 pseudopeptide on a GAIA® synthesizer by Maissa Ammour, Jade Torchio, Stéphane C. Renaud, Léa Rubira, Cyril Fersing, Cyril Fersing

“…A strong cation exchange (SCX) cartridge for 68Ga pre-concentration and a solid-phase extraction (SPE) step for final purification were included in the process. RCY, RCP, and stability over 4 h were assessed using radio-HPLC and radio-TLC. …”
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A Comparative Study of Machine Learning Techniques for Predicting Mechanical Properties of Fused Deposition Modelling (FDM)-Based 3D-Printed Wood/PLA Biocomposite by Prashant Anerao, Atul Kulkarni, Yashwant Munde, Namrate Kharate

“…The dataset has been carefully prepared to facilitate machine learning for both training and testing, and it contains the experimental results and associated process parameters. Four distinct machine learning algorithms have been selected for predictive modeling: Linear Regression, Support Vector Machine (SVM), eXtreme Gradient Boosting (XGBoost), and Adaptive Boosting (AdaBoost). …”
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Blockchain-Enabled Deep Recurrent Neural Network Model for Clickbait Detection by Abdul Razaque, Bandar Alotaibi, Munif Alotaibi, Fathi Amsaad, Ansagan Manasov, Salim Hariri, Banu B. Yergaliyeva, Aziz Alotaibi

“…The clickbait search process is accomplished by incorporating the binary search features for a faster and more efficient search process for malicious content-detection. …”
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An EfficientNet integrated ResNet deep network and explainable AI for breast lesion classification from ultrasound images by Kiran Jabeen, Muhammad Attique Khan, Ameer Hamza, Hussain Mobarak Albarakati, Shrooq Alsenan, Usman Tariq, Isaac Ofori

“…Both fine‐tuned models are later trained using a deep transfer learning process and extracted features from the deeper layer. …”
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Research on the Simulation Model of Dynamic Shape for Forest Fire Burned Area Based on Grid Paths from Satellite Remote Sensing Images by Xintao Ling, Gui Zhang, Ying Zheng, Huashun Xiao, Yongke Yang, Fang Zhou, Xin Wu

“…Accurately simulating and predicting this dynamic process can provide a scientific basis for forest fire control and suppression decisions. …”
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INVESTIGATION OF THE SUBJECT-SPATIAL ENVIRONMENT OF THE SCHOOL BY THE METHOD OF SEMANTIC DIFFERENTIAL by I. A. Vinogradova, E. V. Ivanova, O. V. Nesterova

“…Physical and psychological parameters of the school space have a significant impact on the motivation of a learning process and its results. Specificity of the school environment, its atmosphere and surroundings determine the meaning and nature of learning, a vector and activity of development and self-development of participants in the educational process, and determine their actions in it. …”
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About the Usage of the Augmented Reality Technology in Mathematics and Physics Learning by Yu. Yu. Dyulicheva

“…The disadvantages of the augmented reality applications include their narrow focus on studying of specific process, phenomenon or concept. The results of research can be applied in the educational process for mathematics and physics learning in order to increase the motivation and interest of students.…”
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Political Aspect of the Institute of Extradition in PostSoviet Space by Vlasta L. Goricheva, Olga V. Levashova

“…Globalization, as a socio-political phenomenon, has the greatest impact on extradition having complicated and modified the process making it responds to current challenges on the part of society. …”
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Electroweak measurements at the LHC and HL-LHC with ATLAS and CMS by Magnan Anne-Marie

“…A review of the measurements available for vector boson scattering and triboson processes will follow, both class of processes sensitive to anomalous quartic gauge couplings. …”
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Application of KTA-KELM in Fault Diagnosis of Rolling Bearing by Zhuo Wang, Wenjun Zhao, Tao Ma, Zhijun Li, Bo Qin

“…In the process of data-driven rolling bearing state identification model construction，the improper selection of the radial width parameter σ of the Gaussian kernel function in the Kernel Extreme Learning Machine（KELM）algorithm is very easy to cause poor classification accuracy. …”
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Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor by Jianghai Li, Jia Meng, Xiaojing Kang, Zhenhai Long, Xiaojin Huang

“…Three major concerns regarding wireless technology in HTGR are addressed: wireless devices interference, cybersecurity of wireless networks, and wireless standards selected for wireless platform. To process nonlinear and non-Gaussian data obtained by WSN for fault diagnosis, novel algorithms combining Kernel Entropy Component Analysis (KECA) and support vector machine (SVM) are developed.…”
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Few-shot Named Entity Ｒecognition for Medical Text by QIN Jian, HOU Jian-xin, XIE Yi-ning, HE Yong-jun

“…First of all，the Bert word vector is extended with pinyin and strokes of Chinese characters to make it contain more useful information. …”
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Comparative Analysis of Machine Learning Models for Predicting Interfacial Bond Strength of Fiber-Reinforced Polymer-Concrete by Miljan Kovačević, Marijana Hadzima-Nyarko, Predrag Petronijević, Tatijana Vasiljević, Miroslav Radomirović

“…This study presents a detailed analysis of various machine learning models for predicting the interfacial bond strength of fiber-reinforced polymer (FRP) concrete, including multiple linear regression, Multigene Genetic Programming (MGGP), an ensemble of regression trees, Gaussian Process Regression (GPR), Support Vector Regression (SVR), and neural networks. …”
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The Dissolved Oxygen Prediction Method Based on Neural Network by Zhong Xiao, Lingxi Peng, Yi Chen, Haohuai Liu, Jiaqing Wang, Yangang Nie

“…The input layer, hidden layer, and output layer are introduced in detail including the weight adjustment process. The breeding data of three ponds in actual 10 consecutive days were used for experiments; these ponds were located in Beihai, Guangxi, a traditional aquaculture base in southern China. …”
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Implementation of Energy-saving Technologies in House construction by E. I. Krupnov, I. A. Zaytseva, S. A. Loginova, A. V. Simagin

“…Currently, the potential of heat pumps in the field of energy saving and CO2 emission reduction remains largely untapped, which sets the vector for further research.…”
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Functional Principal Components Analysis of Shanghai Stock Exchange 50 Index by Zhiliang Wang, Yalin Sun, Peng Li

“…Functional data analysis (FDA) deals with random variables (or process) with realizations in the smooth functional space. …”
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Degradation of Organophosphorus Pesticides in Water during UV/H2O2 Treatment: Role of Sulphate and Bicarbonate Ions by Am Fadaei, Mh Dehghani, Ah Mahvi, S. Nasseri, N. Rastkari, M. Shayeghi

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