CARDIO-ONCOLOGY IN TREATMENT AND REHABILITATION PROGRAMS OF ONCOLOGICAL PATIENTS by M. F. Balluzek, A. K. Ionova

“…The need of development of the new interdisciplinary direction — cardio-oncology — in algorithm of treatment and rehabilitation process is revealed.…”
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Monotone Data Visualization Using Rational Trigonometric Spline Interpolation by Farheen Ibraheem, Maria Hussain, Malik Zawwar Hussain

“…The rational cubic function has four parameters in each subinterval, while the rational bicubic partially blended function has eight parameters in each rectangular patch. …”
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QoS-Oriented High Dynamic Resource Allocation in Vehicular Communication Networks by Tarek Bejaoui

“…The proposed algorithm showed good performance in testing in real world environment.…”
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Problem of conjugated heating of steel bloom in pusher-type multistage continuous furnace of the mill 600 by V. I. Timoshpolsky, V. I. Zavelion, I. A. Trusova, O. V. Dubina, E. O. Tskitishvili, O. Laktionov

“…А mathematical model and an algorithm of calculation of conjugated heat-exchange while heating metal castings in a pusher-type continuous furnace. …”
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Acceleration of Runge-Kutta integration schemes by Phailaung Phohomsiri, Firdaus E. Udwadia

“…Numerical examples illustrating the computational efficiency and accuracy are presented and the actual speedup when the accelerated algorithm is implemented is also provided.…”
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Lagrange multiplier selection based on SATD for H.265/HEVC by Wei LI, Fan ZHAO, Er-hu ZHANG, Peng REN

“…In order to improve the coding performance of intra rough mode decision,a SATD-based Lagrange multiplier selection algorithm was proposed for H.265/HEVC.The characteristic of Hadamard transform was first analyzed,and following the new Lagrange multiplier calculation approach based on the distortion measurement of SATD was constructed according to the rate-distortion theory.Then combing the principle of discrete cosine transform,the related parameters were obtained by the formula derivation.Experimental results show that the proposed method supports more accurately intra prediction mode decision,and the reconstruction video quality is improved in average while keeping the same bit-rate.…”
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Reliable Node Clustering for Mobile Ad Hoc Networks by Tao Wang, William N. N. Hung

“…In this paper, we use probabilistic analysis to guide our clustering algorithm towards more reliable clusters. We also use scatter search to perform clustering while considering various performance metrics. …”
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Lightweight Anomaly Detection for Wireless Sensor Networks by Pu Cheng, Minghua Zhu

“…The main challenge of anomaly detection algorithm in WSNs is identifying anomalies with high accuracy while consuming minimal resource of the network. …”
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Mission Sequence Model and Deep Reinforcement Learning-Based Replanning Method for Multi-Satellite Observation by Peiyan Li, Peixing Cui, Huiquan Wang

“…Both phases are formulated as Markov Decision Processes (MDPs) and optimized using the PPO algorithm. Extensive simulations demonstrate that our method significantly outperforms state-of-the-art approaches, achieving a 15.27% higher request insertion revenue rate and a 3.05% improvement in overall mission revenue rate, while maintaining a 1.17% lower modification rate and achieving faster computational speeds. …”
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Single-Step Sampling Approach for Unsupervised Anomaly Detection of Brain MRI Using Denoising Diffusion Models by Mohammed Z. Damudi, Anita S. Kini

“…To address this, we propose a novel single-step sampling procedure that hugely improves the sampling speed while generating images of comparable quality. While DDPMs usually denoise images containing pure noise to generate an original image, we utilize a partial diffusion approach to preserve the image structure. …”
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NEW MECHANISMS FOR NANOINDENTATION DATA PROCESSING USING ATOMIC FORCE MICROSCOPY METHOD by A. A. Mohammed Salem, G. B. Melnikova, A. A. Makhaniok, S. A. Chizhik

“…The paper substantiates the necessity and provides an algorithm  for correction of the measured probe penetration depth with due account of  adhesive forces while calculating the in the region of small specimen deformations. …”
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Machinability Assessment and Multi-Objective Optimization of Graphene Nanoplatelets-Reinforced Aluminum Matrix Composite in Dry CNC Turning by Nikolaos A. Fountas, Dimitrios E. Manolakos, Nikolaos M. Vaxevanidis

“…The results indicated that the feed rate was the dominant parameter affecting both objectives, namely the main cutting force and surface roughness, while the NSGA-II algorithm was capable of delivering advantageous solutions for enhancing machinability with less than 10% error predictions when comparing simulated and actual machining results.…”
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Multi-Objective Optimization of Pressure-Reducing Valves Operation in Extreme Water Consumption Scenarios (Case Study: Najaf Abad Urban Water Distribution Network) by Seyed Pedram Jazayeri Farsani, Ramtin Moeini

“…These networks must ensure that consumer water demands are met with adequate pressure while optimizing water quality parameters, such as residual chlorine concentration, to maximize service satisfaction. …”
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Joint Optimization of Resource Allocation and Task Offloading Strategies in Multi-Cell Dynamic MEC Systems Using Multi-Agent DRL by Yuntao Hu, Ming Chen, Haowen Sun, Yinlu Wang, Yihan Cang

“…The energy consumption minimization is achieved by jointly optimizing the task offloading proportions, transmit power allocations, and computational resource distributions while ensuring the overall deadline constraints and the minimum processing size requirements in each scheduling cycle. …”
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Improving PM2.5 and Visibility Predictions in China Using Machine Learning and Ensemble Forecasting by Ziyin Zhang, Jing Xu, Xiujuan Zhao, Siyu Cheng

“…Furthermore, we introduce a new ensemble forecasting algorithm, RCHEM‐AI, which capitalizes on dynamic RMSE and TCC weights based on machine learning predictions. …”
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Voronoi-GRU-Based Multi-Robot Collaborative Exploration in Unknown Environments by Yang Lei, Jian Hou, Peixin Ma, Mingze Ma

“…In the lower layer, navigation planning is achieved using A* and Timed Elastic Band (TEB) algorithms, while an improved Cartographer algorithm is used to construct a joint map for the multi-robot system. …”
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Cascade-Based Input-Doubling Classifier for Predicting Survival in Allogeneic Bone Marrow Transplants: Small Data Case by Ivan Izonin, Roman Tkachenko, Nazarii Hovdysh, Oleh Berezsky, Kyrylo Yemets, Ivan Tsmots

“…The approach utilizes two artificial intelligence tools: the first Probabilistic Neural Network generates output signals that expand the independent attributes of an augmented dataset, while the second machine learning algorithm performs the final classification. …”
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Green logistics optimization for coal supply in a power plant connecting maritime port by Mingsheng Qiu, Liping Gao, Zhouyong Lin, Minghong Zheng, Qingzhong Lin

“…Numerical experiments demonstrate the algorithm’s superior performance compared to traditional solvers like Gurobi, particularly in handling large-scale instances. …”
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Leveraging ensemble learning-based stock preselection with multiobjective investment optimization for stepwise decision-supported portfolio management by Jui-Sheng Chou, Tran-Bao-Quyen Pham

“…This stage leverages a newly developed algorithm tailored to address the expanded mean–variance problem, effectively decomposing and optimizing it while balancing multiple objectives. …”
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Hippopotamus based optimization for reliable and cost-effective designing of stand-alone hybrid renewable system for a remote area by Sanjeev Gupta, Sanjeev Gupta, Yashwant Sawle, Kishor Thakre, M. Thirunavukkarasu, M. Thirunavukkarasu

“…Also, the outcomes of the proposed algorithm were contrasted with those of the HOMER platform. …”
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