Enhancing Energy Efficiency Utilized IoT: Power Optimization and Energy Harvesting Techniques for Sustainable and Resilient Systems by Dhafer Yaseen, Hasan Qays, Hasnaa Abdulkareem, Falah Ahmed

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Computation of Gram Matrix and Its Partial Derivative Using Precise Integration Method for Linear Time-Invariant Systems by Sulan Li, Yuanhao Ren, Hong Bao, Wei Zhang

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Tri-manual interaction in hybrid BCI-VR systems: integrating gaze, EEG control for enhanced 3D object manipulation by Jian Teng, Jian Teng, Sukyoung Cho, Shaw-mung Lee

“…A soft maximum weighted arbitration algorithm resolves spatiotemporal conflicts between manual and virtual inputs with 92.4% success rate. …”
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Assessment and Modeling of Green Roof System Hydrological Effectiveness in Runoff Control: A Case Study in Dublin by Mehdi Gholamnia, Payam Sajadi, Salman Khan, Srikanta Sannigrahi, Saman Ghaffarian, Himan Shahabi, Francesco Pilla

“…The comprehensive dataset enabled detailed modeling of runoff hydrograph parameters using rainfall hyetographs, which were subsequently analyzed through sophisticated machine learning algorithms. This research introduces an innovative approach by identifying the optimal combination of variables for modeling key runoff characteristics, including Water Retention Amount (WRA), Total RUnoff Volume (TRUV), Peak Runoff Discharge (PRD), and Peak Flow Reduction (PFR). …”
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Investigating the Effectiveness of Option Pricing Using Machine learning models Compared to the Black-Scholes model by Reza Mahdavi, Eslam Fakher, Hasanali Sinaei

“…The results indicate that machine learning algorithms outperformed the Black-Scholes model in predicting option prices. …”
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Method of calculation of thermal loss energy in double and triple glass packaging by A.S. Kudussov, I.A. Kudussova, O.B. Seldyugaev, M.A. Burkov, A.S. Abdurakhimova

“… The paper presents a method of calculating the heat energy loss from the room through double and triple glazing. In this article algorithms of calculation of losses of energy through the processes of conduction, convection and radiation heat transfer. …”
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User scheduling and power allocation strategy for cell-free networks based on federated learning by WANG Huahua, HUANG Yexia, LI Ling

“…Simulation results demonstrate that compared to other comparison algorithms, the proposed algorithm achieves a 47.19% increase in downlink throughput, a 22.60% increase in uplink throughput, and a 57.33% reduction in FL task time consumption, while minimizing time overhead for achieving the same model accuracy…”
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A Beam Search Framework for Quantum Circuit Mapping by Cheng Qiu, Pengcheng Zhu, Lihua Wei

“…The optimization problem of quantum circuit mapping has NP-hard computational complexity, and existing heuristic mapping algorithms still have significant potential for optimization in terms of the number of quantum gates generated. …”
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Designing a Thermoacoustic Cooler for Energy Applications: Experimental Insights by Leszek Remiorz, Krzysztof Grzywnowicz, Eryk Remiorz, Wojciech Uchman

“…Accurate and informative measurements during operation are crucial for developing effective control algorithms and optimizing performance under specific conditions. …”
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Pipkin type III fractures: a narrative review of literature and comparative opinion on ORIF vs. arthroplasty by Sujan Shakya, Qing Zhang, Yi Wen, Xinag Wen, Long Cheng

“…The treatment modality with open reduction and internal fixation (ORIF) or total hip arthroplasty (THA) varies according to the severity of the fracture, patient age, time to surgery, and intraoperative findings. …”
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Progress in the Application of Chemometrics in the Field of Food Flavor by ZHANG Qian, HAN Haoying, MENG Fanyu, WANG Yadong, WANG Bei, JIANG Tao

“…Therefore, it is crucial to use new chemometrics methods, such as artificial intelligence algorithms, correctly and reasonably to obtain effective information in this field. …”
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Microservice Workflow Scheduling with a Resource Configuration Model Under Deadline and Reliability Constraints by Wenzheng Li, Xiaoping Li, Long Chen, Mingjing Wang

“…Experiments on four scientific workflow datasets show that the proposed approach achieves an average cost reduction of 44.59% compared to existing reliability scheduling algorithms, with improvements of 26.63% in the worst case and 73.72% in the best case.…”
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Modified generative adversarial network and Pseudo- Zernike matrix features extraction for human-computer interactive gesture recognition by Jing Yu, Lu Zhao

“…In order to improve the current situation that the existing gesture recognition algorithms need a lot of training data, this paper proposes a modified generative adversarial network (GAN) and Pseudo-Zernike matrix features extraction method to solve the problems of low recognition accuracy and complex recognition process. …”
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FROM SEEING TO BELIEVING: A 43-YEAR LONG JOURNEY IN IMMUNOSTAINING

“…The application of MILAN and the complexity of data obtained (~100 markers, millions of single cells) landed us in the rarefied world of dimensionality reduction algorithms, where math rules and statistical significance replaces “representative images”. …”
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LX-mixers for QAOA: Optimal mixers restricted to subspaces and the stabilizer formalism by Franz G. Fuchs, Ruben Pariente Bassa

“…The numerical examples provided show a dramatic reduction of CX gates when compared to previous results. …”
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Automated reinforcement learning for sequential ordering problem using hyperparameter optimization and metalearning by André Luiz Carvalho Ottoni

“…The results show that the application of metalearning generates a reduction in computational cost in hyperparameter optimization. …”
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Minimizing the Makespan for a Two-Stage Three-Machine Assembly Flow Shop Problem with the Sum-of-Processing-Time Based Learning Effect by Win-Chin Lin

“…A cloud theory-based simulated annealing (CSA) algorithm and an iterated greedy (IG) algorithm with four different local search methods are used to find near-optimal solutions for small and large number of jobs. …”
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Multi‐Model Ensembles for Upper Atmosphere Models by S. Elvidge, S. R. Granados, M. J. Angling, M. K. Brown, D. R. Themens, A. G. Wood

“…Abstract Multi‐model ensembles (MMEs) are used to improve the forecasts of thermospheric neutral densities. A variety of algorithms for constructing the model weights for the MMEs are described and have been implemented including: performance weighting, independence weighting, and non‐negative least squares. …”
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Geometric Distribution Weight Information Modeled Using Radial Basis Function with Fractional Order for Linear Discriminant Analysis Method by Wen-Sheng Chen, Chu Zhang, Shengyong Chen

“…Compared with some LDA-based algorithms, experimental results exhibit that our GLDA approach gives superior performance.…”
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The Differential Transform Method as an Effective Tool to Solve Implicit Hessenberg Index-3 Differential-Algebraic Equations by Brahim Benhammouda

“…This algorithm is based on the idea of applying the differential transform method (DTM) directly to the DAE without applying the traditional index reduction methods, which can be complex and often result in violations of the DAE constraints. …”
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