REDalign: accurate RNA structural alignment using residual encoder-decoder network by Chun-Chi Chen, Yi-Ming Chan, Hyundoo Jeong

“…REDalign significantly reduces computational complexity compared to Sankoff-style algorithms and effectively handles non-nested structures, including pseudoknots, which are challenging for traditional alignment methods. …”
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A Novel Three-Dimensional Direction-of-Arrival Estimation Approach Using a Deep Convolutional Neural Network by Constantinos M. Mylonakis, Zaharias D. Zaharis

“…This article aims to constitute a noteworthy contribution to the domain of direction-of-arrival (DoA) estimation through the application of deep learning algorithms. We approach the DoA estimation challenge as a binary classification task, employing a novel grid in the output layer and a deep convolutional neural network (DCNN) as the classifier. …”
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Analyzing the Impact of Geoenvironmental Factors on the Spatiotemporal Dynamics of Forest Cover via Random Forest by Hendaf N. Habeeb, Yaseen T. Mustafa

“…The Random Forest model demonstrated high predictive accuracy, achieving an R² value of 0.918 (RMSE of 0.016 and MAE of 0.013) for 2013 and 0.916 (RMSE of 0.018 and MAE of 0.014) for 2023, underscoring the model’s robustness in handling nonlinear ecological processes. …”
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ACCEPTABLE LIMITS FOR CORRECTION OF HEATING LOAD WHILE OPTIMIZING OPERATIONAL MODES OF HEAT SOURCES by P. I. Diachek, V. A. Sednin, A. E. Zakharevich, I. V. Shkliar

“…Numerical investigations of temperature fields in the apartments of a multi-dwelling building has been carried out on the basis of the developed mathematical model and algorithm of its realization. The investigations have  made it possible to evaluate dynamics of changes in air temperature under unsteady conditions due to increase or reduction heating device capacity with regard to standardized values. …”
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Low‐space bit‐serial systolic array architecture for interleaved multiplication over GF(2m) by Atef Ibrahim

“…Abstract This article offers a new bit‐serial systolic array architecture to implement the interleaved multiplication algorithm in the binary‐extended field. The exhibited multiplier structure is more proper for VLSI implementation as it has regular cell structures as well as local communication wires between the cells. …”
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Fine monitoring method for mangrove wetland ecosystem based on sentinel data fusion and RF optimization by Shuwen Wang, Taisi Chen, Zimin Li, Haitao Sang

“…This novel model integrates advanced satellite data processing (Sentinel series) with machine learning (Random Forest algorithm) to achieve fine-grained image segmentation and 3D feature classification for mangrove ecosystems. …”
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Dimensionless analysis and novel configuration for enhanced natural convection cooling in lithium-ion batteries by Congyu Mao, Min Liang Wang, Kewei Gao, Hongdi Jin, Woo Young Cho, Hernando Leon-Rodriguez, Kootaek Hong, Seunghwoi Han, Jihoon Jeong, Hyun Wook Kang

“…Optimized configurations achieved a 12.5 % reduction in temperature difference without sacrificing average heat rejection. …”
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Machine learning-based assessment of the impact of biochar amendment on plant productivity in salt-affected soils by Mao Zhenxuan, Chen Kun, Liu Qiang, Xu Mengjiao

“…In this study, the BP neural network algorithm was applied to build a prediction model of plant productivity in salt-affected soils improved by biochar, and the internal mechanism of biochar application affecting plant growth in salt-affected soils was deeply revealed. …”
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Optimum Arrangement of Reactive Power Sources While Using Genetic Algori by A. M. Gashimov, R. N. Rakhmanov, S. T. Rakhmanov

“…Reduction of total losses in distribution electricity supply network is considered as an important measure which serves for improvement of efficiency of electric power supply systems. …”
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A New Method for Identifying Key and Common Themes Based on Text Mining: An Example in the Field of Urban Expansion by Yanwei Zhang, Xinhai Lu, Chaoran Lin, Feng Wu, Jinqiu Li

“…First, the latent Dirichlet allocation algorithm is used to capture the thematic clustering of scientific literature. …”
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Cyclical hybrid imputation technique for missing values in data sets by Kurban Kotan, Serdar Kırışoğlu

“…The algorithm aims to impute missing values more effectively by using row-based and column-based imputation techniques together and cyclically. …”
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Cooperative sensing method considering malicious nodes in cognitive radio networks by Xiao-gang QI, Sheng-yu ZHENG, Li-fang LIU, Hui-fang WANG

“…Based on a more practical cognitive radio network with malicious users,the spectrum sharing network model based on the cooperative spectrum sensing was studied that the secondary user can dynamically adjust its transmit power based on cooperative sensing results.To avoid significant reduction in performance of spectrum sensing system caused by malicious nodes,it is aimed to study how to improve the performance of cooperative sensing.By introducing the convex optimization problem,the secondary network throughput is maximized under the certain detection probability conditions and the corresponding power constraints.Simulation results show that whether or not there are malicious nodes,the algorithm is efficient in calculating optimal sensing time and the optimal transmit powers,and the secondary network throughput is increased when the maximum interference power limits and the maximum transmit power restrictions are decreased.…”
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Computer-Aided System for Monitoring and Planning of Actions to Increase Machine-Building Enterprises Energy Efficiency by Nataliya Stupnytska

“…Estimation of energy saving actions efficiency is proposed by calculation of the ratio of energy consumption cost reduction to the cost of installation works and materials related with the implementation of these actions. …”
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Computing Parameter Estimates of a Homogeneous Nested Piecewise Linear Regression by S. I. Noskov, S. I. Belinskaya

“…Estimation of its unknown parameters is carried out with the help of reduction to the problem of linear Boolean programming. …”
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Efficient cutting stock optimization strategies for the steel industry. by Chattriya Jariyavajee, Suthida Fairee, Charoenchai Khompatraporn, Jumpol Polvichai, Booncharoen Sirinaovakul

“…The solution process involves three key steps: (i) Problem representation, where feasible cutting solutions are modeled based on pre-cut steel bars and customer orders, (ii) Problem space reduction, which reduces the problem space by eliminating suboptimal solutions and following manufacturer loss limits, and (iii) Optimal solution search, whereas the optimal solution is identified using a new Adaptive Pathfinding Optimization Algorithm. …”
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Nanodesigner: resolving the complex-CDR interdependency with iterative refinement by Melissa Maria Rios Zertuche, Şenay Kafkas, Dominik Renn, Magnus Rueping, Robert Hoehndorf

“…NanoDesigner integrates key stages—structure prediction, docking, CDR generation, and side-chain packing—into an iterative framework based on an expectation maximization (EM) algorithm. …”
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Deep Learning-Based Signal Constellation for OFDM Underwater Acoustic Communications by Ammar E. Abdelkareem, Majid Dherar Younus, Emad A. Al-Sabawi

“…The hegemony was depicted in the performance of the bit error rate (BER) of the proposed DL-based signal constellation prediction algorithm, which achieved 100% accuracy and a gain of 10dB and 12dB over minimum mean square error (MMSE) and least square (LS) channel estimation performance, respectively, when CP=0 at N_p=N/4. …”
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Integrating Multiple Hierarchical Parameters to Achieve the Self-Compensation of Scale Factor in a Micro-Electromechanical System Gyroscope by Rui Zhou, Rang Cui, Daren An, Chong Shen, Yu Bai, Huiliang Cao

“…This is achieved by integrating the primary and secondary relevant parameters of the scale factor using the partial least squares regression (PLSR) algorithm. In this paper, a scale factor prediction model is presented. …”
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Implementation framework for AI deployment at scale in healthcare systems by Hassan Sami Adnan, Amitis Shidani, Lei Clifton, Clare R. Bankhead, Rafael Perera-Salazar

“…This design thinking approach promotes clinical utility beyond model prediction, combining privacy preservation with clinical parameters to establish a reward function for reinforcement learning, ranking competing models. …”
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Application of Artificial Intelligence Technology in Martial Arts Education Governance by Weiwu Ye, Shihong Li, Shuaibing Liu, Yuan Zhou

“…At the same time, this paper uses the pose estimation algorithm of coordinate regression to predict the key points of the human body from the global perspective of the human body and then locates the key points of the human body from the features. …”
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