Hand Tremor Characterization from a Spatiotemporal Convolutional Representation by Jessica Pedraza Cadena, John Edinson Archila Valderrama, Franklin Sierra-Jerez, Alejandra Moreno Tarazona, Fabio Martínez Carrillo

“…As for the resting scheme, the proposed method obtained an average accuracy of 90% and sensitivity of 80%. …”
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Imbibition Retention in the Process of Fluid Replacement in Tight Sandstone Reservoir by Xiong Liu, Yang Zhang, Desheng Zhou, Le Yan, Hai Huang, Xinru Li

“…In this study, an experimental method that can visualize the imbibition and displacement process is proposed by combining the core slice displacement experiment. …”
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A Hybrid Gaze Distance Estimation via Cross-Reference of Vergence and Depth by Dae-Yong Cho, Min-Koo Kang

“…The findings showed that the proposed method significantly outperformed current methods with a visual angle error of 0.132 degrees under ideal conditions. …”
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Borax and Boric Acid Combination As Fire Retardant and Anti-termite Agents on Red Meranti Wood by Mahdi Santoso, Sutjipto A. Hadikusumo, Abdul Aziz

“…Testing the fire resistance referred ASTM E 69-02 B and anti-termite evaluation was conducted by no-choice feeding method. Observed parameters were absorption, actual retention, burn intensity, maximum combustion temperature, glowing time, termite mortality, mass loss, the degree of damage and visual observation. …”
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Using Partial Differential Equation Face Recognition Model to Evaluate Students’ Attention in a College Chinese Classroom by Xia Miao, Ziyao Yu, Ming Liu

“…The partial differential equation learning model is applied to another high-level visual-processing problem: face recognition. A novel feature selection method based on partial differential equation learning model is proposed. …”
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The best angle correction of basketball shooting based on the fusion of time series features and dual CNN by Meicai Xiao

“…However, the current method is limited by the variability of the shape base, ignoring dynamic features and visual information, and there are some problems in the process of feature extraction and correction of related actions. …”
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ECONOMIC MECHANISM OF ENERGY SAVING AT PUBLIC UTILITY COMPANIES by Olesia Solodovnik, Kateryna Dokunina

“…While achieving the objectives of the study the following tasks were solved within the research: the current state of energy saving in Ukraine and at public utilities was analyzed; theoretical approaches for revealing the essence of the concept of energy conservation was considered; the pattern of the economic mechanism of energy saving at public utility companies was developed and its costituents were grounded. The following methods were used in the research: the abstract and logical method was used for generalizing the theory and formulating conclusions; the method of system and structural analysis was used for studying and generalizing approaches to the definition of energy saving; methods of economic and mathematical statistics were used for processing and analyzing initial data, identifying trends and patterns of the efficiency of studied factors; graphical method was used for visualizing the results of the research. …”
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Improving LUR testing accuracy and practicability for prestressed concrete sleepers through bending stiffness and visco-plastic deflection-based analysis techniques by Ferhat Çeçen, Bekir Aktaş, Hakan Öztürk, İrfan Ş. Öztürk, M. Burhan Navdar

“…Key modifications, such as standardized waiting times and enhanced measurement techniques, were incorporated to improve accuracy and consistency. The proposed method allows for precise estimation of critical capacity values, including decompression load and first crack formation, without the need for visual inspection, making it more reliable than current standards. …”
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Identifying Bias in Deep Neural Networks Using Image Transforms by Sai Teja Erukude, Akhil Joshi, Lior Shamir

“…To overcome this, we propose a method to identify dataset bias without the need to crop background information from the images. …”
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Non-Invasive Localization of Epileptogenic Zone in Drug-Resistant Epilepsy Based on Time–Frequency Analysis and VGG Convolutional Neural Network by Yaqing Liu, Yalin Wang, Tiancheng Wang

“…This study constructed a non-invasive epilepsy localization method, integrating sLORETA source imaging, time–frequency analysis, and Visual Geometry Group (VGG-16) deep learning. …”
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Estimation of Wind Turbine Blade Icing Volume Based on Binocular Vision by Fangzheng Wei, Zhiyong Guo, Qiaoli Han, Wenkai Qi

“…Icing on wind turbine blades in cold and humid weather has become a detrimental factor limiting their efficient operation, and traditional methods for detecting blade icing have various limitations. …”
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Digital Pathology for Analyzing Endomyocardial Biopsy Specimens by A. A. Slavinskiy, A. A. Verevkin, L. M. Chuprinenko, V. L. Drushevskaya, M. V. Kristesiashvili

“…Materials and methods: We studied 257 EMB specimens from 56 heart transplant recipients at Scientific Research Institute – Ochapovsky Regional Clinical Hospital No. 1 (Krasnodar, Russian Federation). …”
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Analysis of the Structure of Nonlinear Distortions at Baseband Pulse Impacts Using Behavioral Nonlinear Models of Electrical Circuits by E. V. Semyonov

“…It is shown that even parts of the nonlinear distortions at step impact, caused by individual physical nonlinearity factors, exceed the harmonic distortions of a RF-pulse signal.Conclusion. The considered method is particularly useful when designing wideband devices with feedbacks, since the nonlinearity of energy recirculation takes effect long after the visual end of the transient process.…”
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A sparse and invisible targeted backdoor attack in federated learning by Qikun Zhang, Mengyang Yu, Ruifang Wang, Yongjiao Li, Junling Yuan, Yu-an Tan

“…Extensive experiments on the CIFAR-10 public dataset and PathMNIST dataset validate the effectiveness of the proposed method. Results show that the attack success rate on poisoned data surpasses existing methods by 5–10%. …”
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Investigation of Peanut Leaf Spot Detection Using Superpixel Unmixing Technology for Hyperspectral UAV Images by Qiang Guan, Shicheng Qiao, Shuai Feng, Wen Du

“…Compared to other unmixing methods and manual visual interpretation techniques, the proposed method achieved excellent results, with an overall accuracy of 89.08% and a Kappa coefficient of 85.42% for the GA-SVM classifier. …”
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Analysis of the Effectiveness of the Use of Liquid Crystal Glasses in the Functional Treatment of Congenital Partial Atrophy of the Optic Nerve by I. E. Aznauryan, S. I. Rychkova, S. G. Agagulyan, V. O. Balasanyan, N. I. Kurysheva, A. B. Laver

“…This method allows to increase monocular and binocular visual acuity; improve electrophysiological parameters; reduce the deviation value and increase the amplitude of fusion; improve the nature of vision; normalize the interaction of monocular and binocular mechanisms of spatial perception; improve visual memory.…”
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Class Concept Representation From Contextual Texts for Training-Free Multi-Label Recognition by Dong Un Kang, Hyunwoo Lee, Se Young Chun

“…Experimental results obtained on diverse benchmarks demonstrate that the proposed methods substantially improve the performance of existing zero-shot MLR methods, achieving an average improvement of 9.4% in mean average precision (mAP) over the zero-shot contrastive language-image pretraining (CLIP) method and 2.2% in mAP over the TaI-DPT zero-shot prompt-tuning method. …”
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Graphische Bestimmung der Gleichgewichtszusammensetzung im lonenaustausch by Sandor Vajna

“…Unlike to the mathematical method of the determination of the equilibrium composition this graphical method is independent of the shape of the isotherm. …”
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Breast cancer pathology image recognition based on convolutional neural network. by Weijian Fang, Shuyu Tang, Dongfang Yan, Xiangguang Dai, Wei Zhang, Jiang Xiong

“…This study presents a convolutional neural network (CNN)-based method for the classification and recognition of breast cancer pathology images. …”
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Performance Enhancement of Second-Life Lithium-Ion Batteries Based on Gaussian Mixture Model Clustering and Simulation-Based Evaluation for Energy Storage System Applications by Abdul Shakoor Akram, Woojin Choi

“…In this paper, we compare four clustering approaches including random grouping, equal-number Support Vector Clustering, K-means, and an equal-number Gaussian Mixture Model (GMM) to organize 60 retired cells into 48 V modules consisting of 15-cell groups. …”
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