Methodical Principles for Determination of Optimum Breaking Places of Distributive Electrical Networks with Due Account of Supply Network of 110 kV and Higher by M. I. Fursanov, A. A. Zalatoi, V. V. Makarevich, A. N. Mukha

“…In order to determine loss values in supply network a special mathematical model of the closed network has been constructed and the model permits to execute the given operation with minimum computing expenses. The paper proposes and analyzes methods for registration of task limitations: damage due to insufficient supply of electric power, possible network overloads for permissible currents, power supply provision for the 1st category consumers, prohibition against switching in public network and switching-on of sectional apparatus being switched-off according to normal scheme.…”
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Tennis ball detection based on YOLOv5 with tensorrt by Xiulei Zhang, Bin Li

“…The experimental results show that the model achieves 94% mean average precision in the tennis ball detection task, with a combined detection error of 0.39 m and a minimum computing time of 2.28 s. The study shows that this method can significantly improve the accuracy and speed of tennis ball drop detection, which provides reliable technical support for the penalization of tennis matches.…”
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Prediction of Highway Tunnel Pavement Performance Based on Digital Twin and Multiple Time Series Stacking by Gang Yu, Shuang Zhang, Min Hu, Y. Ken Wang

“…This paper (1) establishes an MTSS prediction model with heterogeneous stacking of eXtreme gradient boosting (XGBoost), the artificial neural network (ANN), random forest (RF), ridge regression, and support vector regression (SVR) component learners after exploratory data analysis (EDA); (2) proposes a method based on multiple time series feature extraction to accurately predict the pavement performance change trend, using the highway segment as the minimum computing unit and considering multiple factors; (3) uses grid search with the k-fold cross validation method to optimize hyperparameters to ensure the robustness, stability, and generalization ability of the prediction model; and (4) constructs a digital twin for pavement performance prediction to realize the real-time dynamic evolution of prediction. …”
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Limit state analysis of asymmetrical microstructures based on yield design computational homogenization approach by Phuc L. H. Ho, Canh V. Le, Phuong H. Nguyen, Chanh T. Ngo

“…Second-order cone programming provides an efficient solution to solve the resulting optimization problems, and accurate load multipliers can be obtained with the minimum computational cost. Several asymmetrical material models are investigated to perform the efficiency of the proposed method. …”
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Reliability and Reliability-based Sensitivity Analyses of Steel Moment-Resisting Frame Structure subjected to Extreme Actions by Abbasali Sadeghi, Hamid Kazemi, Maysam Samadi

“…Among the meta-models, Kriging can estimate the failure probability with the least error, sample number with minimum computer processing time, in comparison with MCS.…”
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Content oriented 3D-CNN sequence learning architecture for academic activities recognition using a realistic CAD dataset by Muhammad Wasim, Imran Ahmed, Naveed Abbas, Tanzila Saba, Faten S. Alamri, Alex Elyassih, Amjad Rehman

“…Experimental results demonstrate that the proposed 3D-CNN model outperforms other variants, achieving the highest accuracy of 95%, minimum computational cost of 13.3 GFLOPs, and low memory overhead of 18,464 KB. …”
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Reliability and reliability-based sensitivity analyses of steel moment-resisting frame structure subjected to extreme actions by Abbasali Sadeghi, Hamid Kazemi, Mayasam Samadi

“…Among the meta-models, Kriging can estimate the failure probability with the least error, sample number with minimum computer processing time, in comparison with MCS.…”
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Optimal Adaptive Modeling of Hydrogen Polymer Electrolyte Membrane Fuel Cells Based on Meta-Heuristic Algorithms Considering the Membrane Aging Factor by Mohamed Ahmed Ali, Mohey Eldin Mandour, Mohammed Elsayed Lotfy

“…Among them, the proposed WHO approach’s results showed a promising performance in terms of its accuracy and minimum computational time over the other state-of-the-art approaches. …”
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Novel Sentiment Majority Voting Classifier and Transfer Learning-Based Feature Engineering for Sentiment Analysis of Deepfake Tweets by Madiha Khalid, Ali Raza, Faizan Younas, Furqan Rustam, Monica Gracia Villar, Imran Ashraf, Adnan Akhtar

“…The logistic regression outperforms with the highest accuracy of 98.9% with minimum computational complexity. The sentiment classification performance of each applied model is validated using the k-fold cross-validations. …”
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Wearable Sensor-Based Exercise Monitoring System for Higher Education Students Using a Multi-Attribute Fuzzy Evaluation Model by Shiping Yu, Xiaowei Peng

“…During the analysis, MM-Fit dataset information is utilized to evaluate the system efficiency in which the system ensures the minimum computation complexity <inline-formula> <tex-math notation="LaTeX">$O\left ({{ r.m.n }}\right)$ </tex-math></inline-formula> and minimum latency value <inline-formula> <tex-math notation="LaTeX">$\left ({{ \approx 70mAh }}\right)$ </tex-math></inline-formula>.. …”
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A Low Computational Cost Method for Mobile Malware Detection Using Transfer Learning and Familial Classification Using Topic Modelling by Saket Acharya, Umashankar Rawat, Roheet Bhatnagar

“…Hence, there is a need for an approach that can efficiently detect novel malware variants with a minimum computational cost. This paper proposes a novel framework for detecting and clustering Android malware using the transfer learning and the topic modelling approach. …”
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A Golden Jackal based optimal operation and optimization of a virtual power plant involving renewable resources by Anubhav Kumar Pandey, Chaima Mansour, Nandini K. K., Vinay Kumar Jadoun, Jayalakshmi N. S.

“…Furthermore, the scheduling of the VPP system is carried out on a day-ahead basis and the outcome in terms of cost and emission is compared with the available work in the literature and the result reveals the effectiveness of the system in terms of quality solutions sets for the objectives, minimum computational time and better convergence behavior. …”
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Recurrent Adaptive Classifier Ensemble for Handling Recurring Concept Drifts by Tinofirei Museba, Fulufhelo Nelwamondo, Khmaies Ouahada, Ayokunle Akinola

“…To accurately and efficiently handle recurring concepts with minimum computational overheads, we propose a novel and evolving ensemble method called Recurrent Adaptive Classifier Ensemble (RACE). …”
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A Cascaded Ensemble Framework Using BERT and Graph Features for Emotion Detection From English Poetry by Praveen K. Kazipeta, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli

“…CP Net achieved state-of-the-art results with a minimum computational time of 0.274 to 0.332 milliseconds, outperforming other models.…”
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SGAK: A Robust ECC-Based Authenticated Key Exchange Protocol for Smart Grid Networks by Akber Ali Khan, Vinod Kumar, Ramakant Prasad, M. Javed Idrisi

“…Our protocol achieves high security with minimum computational and communication costs. The proposed protocol reduced computational cost <inline-formula> <tex-math notation="LaTeX">$\approx 79.64\%$ </tex-math></inline-formula>, cost of communication is reduced <inline-formula> <tex-math notation="LaTeX">$\approx 71.54 \%$ </tex-math></inline-formula>, while energy consumption reduced to <inline-formula> <tex-math notation="LaTeX">$\approx 79.65 \%$ </tex-math></inline-formula> respectively of the mean value of all alternatives, thus proving the robustness of the presented protocol for securing SG communications.…”
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Voice-activated home automation system for IoT edge devices using TinyML by Timothy Malche, Sandeep Budhani, Pramod Kumar Soni, Govind Murari Upadhyay

“…The results show that our keyword spotting model is both highly accurate and efficient and uses minimum computational resources. This research helps in the advancement of TinyML applications in home automation and broadens the potential for voice interaction in constrained environments. …”
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Design Optimization of Feedforward Equalization for Mobile Fronthaul Based on Delta-Sigma Modulation With High-Order QAM Signals by Jianghao Li, Yangsheng Yuan, Yangjian Cai

“…Our results show that, under the minimum computational complexity, the maximum transmission capacity can reach 8.98 Gbps when using the FFE scheme with 11 taps and step size of 3 &#x00D7; 10^-5 or 3.5 &#x00D7; 10^-5 and the average error vector magnitude (EVM) can be minimized to a level less than 0.032 with 19 taps and step size of 4 &#x00D7; 10^-5 or 4.5 &#x00D7; 10^-5 for 1-bit quantization system while for 2-bit quantization system, the maximum transmission capacity of 11.4 Gbps can be obtained when employing the FFE scheme with 19 taps and step size of 3.5 &#x00D7; 10^-5 and the minimal average EVM less than 0.01 can be achieved with 19 taps and step size of 4 &#x00D7; 10^-5. …”
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