A Method for Efficient Task Assignment Based on the Satisfaction Degree of Knowledge by Jiafu Su, Jie Wang, Sheng Liu, Na Zhang, Chi Li

“…This paper develops a method system for efficient task assignment in product R&D. The method system consists of three components: similar tasks identification, tasks’ execution time calculation, and task assignment model. …”
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Realisation trajectory control in a horizontal with adaptive algorithm of management of thwart motion of the plane by D. V. Vereshikov, P. S. Kostin, Yu. O. Vereshagin

“…By modelling of movement of the plane during performance S - figurative maneuvers with use of a programmno-modelling complex and the flight stand substantial improvement of characteristics of controllability of the asymmetrical plane and, thus, increase of efficiency of its application is shown.…”
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Forecasting and Feature Analysis of Ship Fuel Consumption by Explainable Machine Learning Approaches by Pham Nguyen Dang Khoa, Dinh Gia Huy, Nguyen Canh Lam, Dang Hai Quoc, Pham Hoang Thai, Nguyen Quyen Tat, Tran Minh Cong

“…More importantly, this study provided Taylor diagrams and violin plots that helped in the identification of the best-performing models. Generally, the employed ML approaches efficiently predicted the data; however, they are black-box methods. …”
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Development of scientific and methodological approaches to improve the efficiency of quarry transport operation by A. N. Novikov, I. A. Novikov, N. A. Zagorodnij, A. S. Semykina

“…The article discusses innovative and information technologies, an identification system, the purpose of which is to increase the efficiency of the operation of open pit transport. …”
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The calculation algorithm of oil and gas production enterprise energy efficiency indicators by A. Yu. Arestova, V. N. Ulyanov, M. Yu. Frolov

“…The equipment parameters identification method based on actual measurements is used for designing a mathematical model. …”
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Efficient sepsis detection using deep learning and residual convolutional networks by Ahmed S. Almasoud, Ghada Moh Samir Elhessewi, Munya A. Arasi, Abdulsamad Ebrahim Yahya, Menwa Alshammeri, Donia Badawood, Faisal Mohammed Nafie, Mohammed Assiri

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EDGE-BASED VIDEO RECOGNITION: ADVANCING DEEP LEARNING FOR EFFICIENT VISUAL by Sai Babu Veesam, Aravapalli Rama Satish

“…Thorough evaluations validate our system's exceptional F1 score, accuracy, and precision, establishing its utility for edge-based HAR applications. The model achieves remarkable accuracy rates across various action identification tasks, notably scoring 97.36% accuracy for jumping, 98.72% for strolling, 98.09% for running, and 98.26% for hand gestures. …”
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An efficient real-time signal processing method for satellite laser ranging. by Jinyu Wang, Wei Zhu, Weiming Gong

“…To address these problems, we propose a new, efficient real-time SLR data processing method. This algorithm combines single-stage filtering with a histogram-based approach and incorporates polynomial fitting to establish a predictive model. …”
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Efficient feature selection based on Gower distance for breast cancer diagnosis by Salwa Shakir Baawi, Mustafa Noaman Kadhim, Dhiah Al-Shammary

“…This study presents an efficient feature selection method based on the Gower distance to enhance the accuracy and efficiency of standard classifiers on high-dimensional medical datasets. …”
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Fusion of Multimodal Audio Data for Enhanced Speaker Identification Using Kolmogorov-Arnold Networks by Aryaman Tamotia, Dhruv Shantu Karmokar, Rethi Komal, K. Khadar Nawas, A. Shahina, A. Nayeemulla Khan

“…This makes the KAN framework a highly efficient choice for audio-based speaker identification. …”
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Global Clustering Quality Coefficient Assessing the Efficiency of PCA Class Assignment by Mirela Praisler, Stefanut Ciochina

“…We are proposing a set of indicators inspired from analytical geometry that may be used for an objective quantitative assessment of the data clustering quality as well as a global clustering quality coefficient (GCQC) that is a measure of the overall predictive power of the PCA models. The use of these indicators for evaluating the efficiency of the PCA class assignment is illustrated by a comparative study performed for the identification of the preprocessing function that is generating the most efficient PCA system screening for amphetamines based on their GC-FTIR spectra. …”
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Nonlinear Identification of the Suction Manifold of a Supermarket Refrigeration System Using Wavelet Networks by Adesola Temitope Bankole, Habeeb Bello-Salau, Zaharuddeen Haruna

“…The dynamics of the suction manifold of a high-fidelity simulation benchmark model of a modified supermarket refrigeration system created in MATLAB 2024a and Simulink 2024a is modeled using a nonlinear system identification technique. …”
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Efficiency Analysis of Container Ports in Vietnam Using Stochastic Frontier Analysis by Thanh Uyen Bui, Gyu Sung Cho

“…The results suggest that the port efficiency, as measured using the SFA models, enhances the technical efficiency scores of the container ports, with the collected scores generally being high among the 13 observations. …”
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Utilization of Deep Learning YOLO V9 for Identification and Classification of Toraja Buffalo Breeds by Abdul Rachman Manga', Herawati Herawati, Purnawansyah Purnawansyah

“…In response to the need for an accurate and efficient identification method, this research utilizes the YOLOv9 (You Only Look Once version 9) deep learning model to detect and classify Toraja buffalo breeds. …”
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Bank data protection and fraud identification based on improved adaptive federated learning and WGAN by Yunjiao Zheng

“…Then, a fraud recognition model is designed based on generative adversarial networks. …”
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Identification of Ground Fissures in Mining Areas from UAV Images Based on RDC-UNet by Zhu Huashan

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Identification and Prediction Method of Working Face Water Inrush of Isolated Overburden Grout Injection by Chaochao Wang, Jialin Xu, Dayang Xuan

“…According to the characteristics of seepage boundary, a “semi‐ellipsoid” theoretical model of seepage boundary of slurry bled water was established, and a dimensionless Formula of the model parameters was constructed. …”
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Enhanced plant health monitoring with dual head CNN for leaf classification and disease identification by Sajeeb Kumar Ray, Md. Anwar Hossain, Naima Islam, Mirza A.F.M. Rashidul Hasan

“…The model achieved a classification accuracy of 99.71 % for leaf classification and 99.26 % for disease identification across 13,576 previously unseen images. …”
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Machine-Learning-Driven Identification of Electrical Phases in Low-Sampling-Rate Consumer Data by Dilan C. Hangawatta, Ameen Gargoom, Abbas Z. Kouzani

“…Accurate electrical phase identification (PI) is essential for efficient grid management, yet existing research predominantly focuses on high-frequency smart meter data, not adequately addressing phase identification with low sampling rates using energy consumption data. …”
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Identification of Mattic Epipedon Degradation on the Northeastern Qinghai–Tibetan Plateau Using Hyperspectral Data by Junjun Zhi, Hong Zhu, Jingwen Yang, Qiuchen Yan, Dandan Zhi, Zhongbao Sun, Liangwei Ge, Chengwen Lv

“…The results showed the following: (1) The XGBoost model with preprocessing using multiplicative scatter correction combined with second derivative transformation (MSC+SD) performed best, achieving an identification accuracy and Kappa coefficient of 0.85 and 0.82, respectively. …”
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