Efficient Reordering of Multiple Memory Operations in a Multithreaded Program by Ilya Andreev, Konstantin Vladimirov

“…The results of the study allow us to effectively generalize the concept of litmus tests to arbitrary partially ordered sets and significantly expand their applicability.…”
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The Non-Orthogonal Multiple Access (NOMA) Dynamic Power Allocation in 5G Networks by Noor Alzubaidi, Ismael Sharhan Hubri

“…For 5G wireless communication networks, non-orthogonal multiple access (NOMA) and millimeter wave (mm-Wave) communications are interesting technologies. The performance of partially connected hybrid beamforming (PC-H-BF), a low-cost partially connected hybrid beamforming (H-BF) with a quick convergence sub-optimal power allocation algorithm, was explored in this work. …”
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A Novel Model-Based Reinforcement Learning for Online Anomaly Detection in Smart Power Grid by Ling Wang, Yuanzhe Zhu, Wanlin Du, Bo Fu, Chuanxu Wang, Xin Wang

“…This study proposes a novel intelligent online anomaly or attack detection method based on the partially observable Markov decision procedure (POMDP). …”
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Investigating the contributory factors influencing speeding behavior among long-haul truck drivers traveling across India: Insights from binary logit and machine learning technique... by Balamurugan Shandhana Rashmi, Sankaran Marisamynathan

“…The analysis results showed that RF demonstrated superior performance in predicting speeding behavior over other competing algorithms with accuracy (0.80), F1 score (0.77), and AUROC (0.81). …”
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Unravelling NK cell subset dynamics and specific gene signatures post-ibrutinib therapy in chronic lymphocytic leukaemia via single-cell transcriptomics by Chunlan Liu, Tianjian Ding, Rong Zou, Aili Zhang, Zhengzhuo Zhi, Sili Wang

“…Mendelian randomization analysis and colocalization analysis were employed to identify key genes. Multiple algorithms were used for immune infiltration analysis, and drug sensitivity analysis was conducted to pinpoint potential therapeutic agents. …”
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Impact of Petty Tyranny on Employee Turnover Intentions: The Mediating Roles of Toxic Workplace Environment and Emotional Exhaustion in Academia by Javed Iqbal, Zarqa Farooq Hashmi, Muhammad Zaheer Asghar, Attiq Ur Rehman, Hanna Järvenoja

“…The authors surveyed 421 employees using a five-point Likert scale across six universities in Lahore, Pakistan and employed a time-lag research design. Partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) analyses, including performance comparisons of various algorithms, were used to test the relationships among the variables. …”
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Design of Automatic Scoring System for Oral English Test Based on Sequence Matching and Big Data Analysis by Ping Li, Hua Zhang, Sang-Bing Tsai

“…According to the comprehensive experiment, the automatic scoring result of the system is much higher than that of the traditional method, which greatly improves the recognition ability of oral pronunciation, solves the difference between the automatic scoring of the system and the manual scoring, and promotes the computer automatic scoring system to replace or partially replace the manual marking.…”
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Selective Sensing and Access Strategy to Maximize Throughput in Cognitive Radio Sensor Network by Weijun Li, Chao Yang, Zhenquan Wu, Beihai Tan, Yuli Fu

“…The unselected channels are accessed directly with low transmission power. A selection making algorithm based on partially observable Markov decision process (POMDP) theory is proposed, to make the SU determine which channels are selected for sensing, how long the sensing time, and the transmission powers of channels. …”
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On improvements of multi-objective branch and bound by Julius Bauß, Sophie N. Parragh, Michael Stiglmayr

“…Since bounding and pruning is considerably weaker in multiple objectives, many branches have to be (partially) searched and may not be pruned directly. …”
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Using Convolutional Block Attention Module for Interpreting the Results of Artificial Neural Networks Operation in Handwritten Signature Identification by V. A. Mishchuk

“…One well-known obstacle to the introduction of artificial neural networks into forensic expert practice is the low level of their interpretability.This limitation makes it difficult for experts to determine what patterns were identified by the neural network algorithm, and which ones of them form the basis of its forecast. …”
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Panning and Jitter Invariant Incremental Principal Component Pursuit for Video Background Modeling by Gustavo Chau, Paul Rodríguez

“…This problem has only been partially solved by a few methods devised for jitter or small transformations. …”
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A Monte-Carlo planning strategy for medical follow-up optimization: Illustration on multiple myeloma data. by Benoîte de Saporta, Aymar Thierry d'Argenlieu, Régis Sabbadin, Alice Cleynen

“…Instead of discretizing the problem with a discrete Markov Decision Process, we apply the Partially-Observed Monte-Carlo Planning algorithm to solve the continuous-time, continuous-state problem, leveraging the near-deterministic nature of cancer progression. …”
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Contribution of Daylighting to Saving Electrical Energy in Cameroon: Case Study of a Classroom in a Public School by Merimé Souffo Tagueu, Lionelle Adelaїde Madjou Tanekou, Benoît Ndzana

“…Applying the optimization algorithm designed for this purpose brings the average illuminance level down to 300lx following the EN12464 standard. …”
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IMAGE SEGMENTATION AND OBJECT SELECTION BASED ON MULTI-THRESHOLD PROCESSING by Vladimir Yu. Volkov, Oleg A. Markelov, Mikhail I. Bogachev

“…Although this is achieved at the cost of the resource-consuming multi-threshold analysis procedure for each processed image, this can be also partially compensated by the simplicity of the algorithm and its possible parallel implementation.…”
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Agile DQN: adaptive deep recurrent attention reinforcement learning for autonomous UAV obstacle avoidance by Fadi AlMahamid, Katarina Grolinger

“…Current Deep Reinforcement Learning (DRL) algorithms struggle to prioritize salient aspects of state representations and manage extensive state and action spaces, particularly in partially observable environments. …”
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Integrating artificial neural networks, multi-objective metaheuristic optimization, and multi-criteria decision-making for improving MXene-based ionanofluids applicable in PV/T sol... by Tao Hai, Ali Basem, As’ad Alizadeh, Kamal Sharma, Dheyaa J. jasim, Husam Rajab, Abdelkader Mabrouk, Lioua Kolsi, Wajdi Rajhi, Hamid Maleki, Narinderjit Singh Sawaran Singh

“…The obtained models are integrated into the multi-objective particle swarm optimization (MOPSO) and multi-objective thermal exchange optimization (MOTEO) algorithms, forming a three-objective optimization problem. …”
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Exploring the potential of antifungal-loaded proniosomes to consolidate corneal permeation in fungal keratitis: A comprehensive investigation from laboratory characterization to mi... by Sadek Ahmed, Michael M. Farag, Heba Attia, Bander Balkhi, Islam M. Adel, Asmaa Ashraf Nemr

“…The formulae, generated by the design, were prepared and scrutinized regarding entrapment efficiency (%EE), particle size (PS), polydispersity index (PDI) and zeta potential (ZP). …”
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Machine learning and response surface methodology forecasting comparison for improved spray dry scrubber performance with brine sludge-derived sorbent by B.J. Chepkonga, L. Koech, R.S. Makomere, H.L. Rutto

“…The effects of key process parameters in spray drying (sorbent particle size, inlet gas phase temperature, and Ca:S ratio) on desulfurization efficiency were investigated using central composite design (CCD). …”
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Machine learning on multi‐spectral imagery to estimate nutrient yield of mixed‐species cover crops by Tulsi P. Kharel, Heather L. Tyler, Partson Mubvumba, Yanbo Huang, Ammar B. Bhandari, Reginald S. Fletcher, Saseendran Anapalli, Deepak R. Joshi, Alemu Mengistu, Girma Birru, Kabindra Adhikari, Madhav Dhakal, Mahesh L. Maskey, Krishna N. Reddy, David E. Clay

“…The chlorophyll absorption ratio index and the normalized difference vegetation index closely followed the biomass nutrients N, P, and K combined yield (Bio_NPK) trend. Machine learning algorithms random forest (RF) and partial least square (PLS) regression were better for biomass (R2 = 0.74 with RF) and N% (R2 = 0.72 with PLS) prediction compared to the Bio_NPK prediction. …”
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Study on Tooth Surface Roughness Modeling of Form Grinding Considering the Change of the Local Grinding Condition by Chen Xiaoqi, Tang Cheng, Liao Xianggui, Zhou Weihua, Tang Jinyuan

“…The motion trajectory equation of abrasive particles at different local positions under the influence of macro geometric shapes is derived. …”
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