Use of Data Mining for Intelligent Evaluation of Imputation Methods by David Red, Carlos R. Primorac

“…In real-world situations, researchers frequently face the difficulty of missing values (MV), i.e., values not observed in a data set. …”
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Implementation of Polar Codes in 5G Systems with Different Waveform Modulations by Using USRP by Marwan Dhuheir, Sıtkı Öztürk

“…The cyclical prefix – OFDM (CP-OFDM), whichis used in 4G systems, performs well in many aspects, however, it has muchweakness that make the researches look for a new modulation technique to beused in 5G systems. …”
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A Profession in the Spectrum between Crises and Compliments: Conference Interpreting by Esra Özkaya Marangoz

“…Lastly, this article will offer some possible suggestions to both conference interpreters and researchers working in the field of interpreting.…”
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Revolutionizing clean energy labs: Robotic imitation learning for efficient fabrication AI-powered electrical units assembly platform by Xi Xu, Yijun Gu, Tianyi Zhang, Jiwen Yu, Stephen Skinner

“…The platform can also help disabled researchers achieve their ideas through the behavior cloning approach.…”
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Validation of an Open-Source Smartwatch for Continuous Monitoring of Physical Activity and Heart Rate in Adults by Nicholas Ravanelli, KarLee Lefebvre, Amy Brough, Simon Paquette, Wei Lin

“…Consumer-grade wrist-based wearable devices have grown in popularity among researchers to continuously collect metrics such as physical activity and heart rate. …”
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A Novel Approach to Autonomous Driving Using Double Deep Q-Network-Bsed Deep Reinforcement Learning by Ahmed Khlifi, Mohamed Othmani, Monji Kherallah

“…However, real-world applications, such as self-driving cars, face challenges due to complex state and action spaces, requiring precise control. Researchers continue to develop new algorithms to improve performance in dynamic settings. …”
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Enhancing Load frequency control in power systems using Puma Optimizer – Proportional Integral Derivative Method by Trung Kien Do, Thanh Long Duong

“…The control parameters of LFC must be optimally adjusted for stable system operation. However, researchers are currently unable to find a suitable and robust method for optimal tuning of LFC control parameters. …”
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Applying deep learning to teleseismic phase detection and picking: PcP and PKiKP cases by Congcong Yuan, Jie Zhang

“…The availability of a tremendous amount of seismic data demands seismological researchers to analyze seismic phases efficiently. Recently, deep learning algorithms exhibit a powerful capability of detecting and picking on P- and S-wave phases. …”
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Confirmatory factor analysis of an identity questionnaire Among autistic adolescents and young adults by Liron Lamash, Sonya Meyer

“…A positive autism identity is essential for improving psychological and social outcomes, making the IIQ valuable for researchers and clinicians.…”
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Load Estimation Algorithm Based on Extended Kalman Filter for Freight Train by DENG Hao

“…Freight trains operating in various scenarios with severe track conditions require traction and braking systems characterized by large delays and strong constraints. Researchers usually build complex train multi-particle motion models and design control algorithms, seeking to establish accurate control in the control system of freight trains. …”
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Versatile graceful degradation framework for bio-inspired proprioception with redundant soft sensors by Taku Sugiyama, Kyo Kutsuzawa, Dai Owaki, Elijah Almanzor, Fumiya Iida, Mitsuhiro Hayashibe

“…Notably, the mean proprioception error increases by less than 1.91°(1.36%) when 30% of the sensors are degraded. …”
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A chemical autonomous robotic platform for end-to-end synthesis of nanoparticles by Fan Gao, Hongqiang Li, Zhilong Chen, Yunai Yi, Shihao Nie, Zihao Cheng, Zeming Liu, Yuanfang Guo, Shumin Liu, Qizhen Qin, Zhengjian Li, Lisong Zhang, Han Hu, Cunjin Li, Liang Yang, Yunhong Wang, Guangxu Chen

“…Abstract Traditional nanomaterial development faces inefficiency and unstable results due to labor-intensive trial-and-error methods. To overcome these challenges, we developed a data-driven automated platform integrating artificial intelligence (AI) decision modules with automated experiments. …”
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The Influence and Compensation of Environmental Factors (pH, Temperature, and Conductivity) on the Detection of Chemical Oxygen Demand in Water by UV-Vis Spectroscopy by Jingwei Li, Yipei Ding, Yijing Lu, Jia Liu, Chenxuan Zhou, Zhiyu Shao

“…The three environmental factors that influence UV-Vis spectroscopy were researched in this study. Considering the complexity of environmental factors, a data fusion method is proposed to compensate for the influence of three environmental factors simultaneously. …”
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The calculus simulation to predict reliably heat transfer coefficient by Kang Dai, Lu Qin, Yanliu Guo, Yunjing Liang, Yannan Yang, Dan Zhao, Xincai Xiao

“…According to the calculus principle, a single corrugated tube was chosen as researched object to rule out the effects of fluid inter-disturbance devised from multi-tubes. …”
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EffNet-SVM: A Hybrid Model for Diabetic Retinopathy Classification Using Retinal Fundus Images by K. V. Naveen, B. N. Anoop, K. S. Siju, Mithun Kumar Kar, Vipin Venugopal

“…The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective, depending on the clinician’s professional experience. …”
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Dynamic and thermodynamic characteristics of ocean response to super typhoon Mangkhut in the South China Sea by Zhiyuan Wu, Zhiyuan Wu, Zhiyuan Wu, Zhiyuan Wu, Zeyuan Zou, Jie Chen, Jie Chen, Jie Chen, Hongmei Luo, Bin Deng, Bin Deng, Bin Deng, Changbo Jiang, Changbo Jiang, Changbo Jiang, Zhao Lv, Zhao Lv, Haojian Zhang, Haojian Zhang

“…A comparison of our modeled results with several buoys and tide stations revealed remarkable consistency, the minimum root mean square error (RMSE) for wind speed, significant wave height, and water level are 3.013 m/s, 0.641m, 0.007m. …”
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Deep Active Learning–Based Classification of Solar Radio Spectrogram Data by Yan Liu, HongQiang Song, FaBao Yan, YanRui Su

“…To solve the shortcomings of time-consuming and error-prone manual recognition, researchers have begun to use deep learning to recognize and automatically classify solar radio outbursts. …”
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An Enhanced Method for Tail Index Estimation under Missingness by F. Ayiah-Mensah, R. Minkah, L. Asiedu, F. O. Mettle

“…In view of this, there is a growing effort by researchers to address this problem. However, the existing methods of estimating the tail index use only the available nonmissing data. …”
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Quantum-assisted hλ-adaptive finite element method by R.H. Drebotiy, H.A. Shynkarenko

“…As a result, our scheme offers more efficient feedback with reduced computational costs for researchers using the method to investigate physical phenomena. …”
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An Experimental Performance Evaluation and Compatibility Study of the Bluetooth Low Energy Based Platform for ECG Monitoring in WBANs by Farid Touati, Ochirkhand Erdene-Ochir, Waiser Mehmood, Ammad Hassan, Adel Ben Mnaouer, Brahim Gaabab, Mohd Fadlee A. Rasid, Lazhar Khriji

“…A long term healthcare monitoring system requires battery operated devices with low-power technologies. Researchers tried to adapt various short-range technologies for Wireless Body Area Networks (WBANs) in ubiquitous health monitoring. …”
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