Medium-Term Hourly Electricity Tariff Forecasting Using Ensemble Models by Matrenin P.V., Arestova A.Yu., Antonenkov D.V.

“…This work aims to study the potential for medium-term forecasting of retail electricity tariff rates and develop a predictive machine learning model. Hourly data on the retail market tariffs of the Novosibirsk region (Siberia) for four years were collected, several machine learning models were applied, and an analysis of the input parameters for forecasting was carried out. …”
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Intelligent Renewable Energy Agent-Based Distributed Control Design for Frequency Regulation and Economic Dispatch by Amjad Khan, Amjad Ullah Khattak, Bilal Khan, Sahibzada Muhammad Ali, Zahid Ullah, Faisal Mehmood

“…The effectiveness of the machine learning-based DAI is thoroughly evaluated using the DRES-based IEEE 14-bus hybrid microgrid system. …”
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Uncertainty in vibration energy flow analysis by W. BOCHNIAK, J. CIEŚLIK

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Using Constrained K-Means Clustering for Soil Texture Mapping with Limited Soil Samples by Fubin Zhu, Changda Zhu, Zihan Fang, Wenhao Lu, Jianjun Pan

“…Currently, supervised classification machine learning methods are most commonly used in digital soil mapping. …”
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Laser-Induced Breakdown Spectroscopy Quantitative Analysis Using a Bayesian Optimization-Based Tunable Softplus Backpropagation Neural Network by Xuesen Xu, Shijia Luo, Xuchen Zhang, Weiming Xu, Rong Shu, Jianyu Wang, Xiangfeng Liu, Ping Li, Changheng Li, Luning Li

“…The BOTS-BPNN model also shows superior performance over other common machine learning models like random forest (RF). This work indicates the potential of BOTS-BPNN as an effective chemometric method for analyzing Mars in situ LIBS data and sheds light on the use of chemometrics for data analysis in future planetary explorations.…”
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Equivalent method for DFIG wind farms based on modified LightGBM considering voltage deep drop faults by Xuecheng Liu, Peixiao Fan, Jun Yang, Song Ke, Binyu Ma, Yangzhou Pei, Jian Xu

“…To address the challenges of inadequate accuracy in identifying the Crowbar action state and incomplete consideration of operating scenarios in existing methods for Doubly Fed Induction Generator (DFIG) wind farms, a DFIG wind farm equivalent method based on modified Light Gradient Boosting Machine (mLightGBM) considering voltage deep drop faults is proposed. …”
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WEST L-mode record long pulses guided by predictions using Integrated Modeling by T. Fonghetti, P. Manas, R. Dumont, J.-F. Artaud, C. Bourdelle, F.J. Casson, N. Cummings, L.F. Delgado-Aparicio, P. Maget, J. Morales, Y. Savoye-Peysson, M. Schneider, the WEST team

“…In particular, decreasing the plasma current is shown to ease the access to such conditions, with a careful monitoring of $(n_\mathrm e, P_\mathrm {LHCD})$ to avoid machine limitations. In addition, post-prediction experiments conducted within the investigated parameter range validated the predicted dependencies and were shown to be in quantitative agreement. …”
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A Real-Time Cotton Boll Disease Detection Model Based on Enhanced YOLOv11n by Lei Yang, Wenhao Cui, Jingqian Li, Guotao Han, Qi Zhou, Yubin Lan, Jing Zhao, Yongliang Qiao

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Mechanical properties and energy absorption of CoCrNi functionally graded TPMS cellular structures by Zhaoyi Wang, Junxian Zhou, Yunzhuo Lu, Dongming Li, Deyu Yue, Xu Zhang, Bingzhi Chen

“…By integrating appropriate parameter mapping, the mechanical properties can be predicted and regulated more flexibly, thereby paving the way for novel high-performance energy-absorbing structures.…”
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A Camera-Embedded Self-Adaptable Finger With Multi-Modal Sensing Capabilities for Robotic Manipulation by Muhammad Usman Khalid, Hafiz Muizz Ahmed Sethi, Nirmal Kumar Ravikumar, Halar Haleem, Alessandro Seitone, Mattia Frascio, Perla Maiolino, Matteo Zoppi

“…Customized rigs integrated with a Universal Testing Machine (UTM) were used for sensor characterization, dataset acquisition, and slip detection parameter optimization. …”
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GA-PE-VMD and MSE Methods for Milling Chatter Feature Extraction of Thin-walled Parts by WANG Hanbin, LI Maoyue, LIU Xianli, WANG Zhixue, MENG Boyang

“…Chatter leads to poor surface quality, dimensional error and reducing the service life of tools and machines.Therefore, a reliable detection method is needed to identify chatter.Aiming at the problem of chatter detection in the milling process of thin-walled structures, a chatter feature extraction method of thin-walled parts based on optimal variational mode decomposition and multi-scale sample entropy is proposed.Firstly, in order to solve the problem of parameter selection in variational modal decomposition, a parameter adaptive method based on genetic algorithm optimization and minimum permutation entropy is proposed. …”
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FRACTIONAL TECHNOLOGY AND TOOLS FOR POST-HARVEST GRAIN TREATMENT AND PROCESSING WITH CRUSHING by P A Savinykh, Yu. V. Sychugov, V. A. Kazakov

“…They have offered a technological line and presented the design and technological parameters of the corresponding technical means (МЗУ-20Д - grain cleaning universal machine, МПО-30ДФ - preliminary grain cleaning machine with fractionation, ПЗД-3,1, ПЗД-10 – two-stage grain crusher). …”
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Retinal Microvascular Characteristics—Novel Risk Stratification in Cardiovascular Diseases by Alexandra Cristina Rusu, Klara Brînzaniuc, Grigore Tinica, Clément Germanese, Simona Irina Damian, Sofia Mihaela David, Raluca Ozana Chistol

“…We evaluated the precision of several classification models in identifying patients with CHDs based on traditional risk factors and OCTA characteristics: a conventional logistic regression model and four machine learning algorithms: k-Nearest Neighbors (k-NN), Naive Bayes, Support Vector Machine (SVM) and supervised logistic regression. …”
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Easement Curve of Involute Gear Tooth with Pre-Set Shape by A. S. Marchuk

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Consensus-Based Intelligent Distributed Secondary Control for Multiagent Islanded Microgrid by Ali M. Jasim, Basil H. Jasim, Flah Aymen, Hossam Kotb, Ahmed Althobaiti

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Determination of Chatter-Free Cutting Mode in End Milling by Yuri Petrakov, Oleksandr Okhrimenko, Serhii Sapon, Maksim Sikailo, Dmytro Fedorynenko

“…A new criterion was applied to design the SLD based on an analysis of the location of the machining system Nyquist diagram on the complex plane. …”
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Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVM by Li Sha, Pan Hongxia, Zhang Jundong, Zhao Weiwei

“…Aiming at the non-stationary and nonlinear of gearbox vibration signals,a fault diagnosis method based on the multi-fractal and particle swarm optimization support vector machine（PSO-SVM）is put forward.Firstly,the fractal filter with short-time fractal dimension as fuzzy control parameters is used to filtering noise reduction the gearbox vibration signals with bigger background noises.Secondly,the multi-fractal spectrum algorithm is applied to analyze the signal after filtering,the results show that the characteristic parameters:Δa（q）、f（a（q））maxand box dimensions Dbcan give a good presentation for gearbox working condition.Finally,the particle swarm optimization（PSO）is applied to optimize the parameters of support vector machine（SVM）.Taking the multi-fractal characteristic vectors as input parameters of PSO-SVM and SVM to recognize the fault types of the gearbox.The results show that SVM based on particle swarm optimization can improve the classification accuracy.Meanwhile,the validity of gearbox fault diagnosis based on muti-fractal and PSO-SVM is proved.…”
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Wearable Internet-of-Things platform for human activity recognition and health care by Asif Iqbal, Farman Ullah, Hafeez Anwar, Ata Ur Rehman, Kiran Shah, Ayesha Baig, Sajid Ali, Sangjo Yoo, Kyung Sup Kwak

“…On the given data set, we evaluate a number of widely known classifiers such random forests, support vector machine, and many others using the WEKA machine learning suite. …”
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Application of deep learning for diagnosis of shoulder diseases in older adults: a narrative review by Sung Min Rhee

“…DL has demonstrated significant potential to improve diagnostic accuracy, efficiency, and consistency in the management of shoulder diseases in older patients. Machine learning-based assessments of imaging data and motion parameters can help clinicians optimize treatment plans and improve patient outcomes. …”
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Influence of Blending Method and Blending Ratio on Ring-spun Yarn Quality – a MANOVA Approach by Jamal Hossen, Subrata Kumar Saha

“…The end breakage rate of the ring frame machine was also studied during the manufacturing of the yarns. …”
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