Data-driven framework for prediction of mechanical properties of waste glass aggregates concrete by Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom, Ahmed M. Ebid, Hamza Imran, Miguel Angel Duque Vaca, Greys Carolina Herrera Morales, Nestor Ulloa, Krishna Prakash Arunachalam

“…Abstract This research presents a novel data-driven framework for predicting the mechanical properties of waste glass aggregate concrete using six advanced metaheuristic optimization algorithms: Bat Algorithm (Bat), Cuckoo Search Algorithm (Cuckoo), Elephant Herding Optimization (Elephant), Firefly Algorithm (Firefly), Rhinoceros Optimization Algorithm (Rhino), and Gray Wolf Optimizer (Wolf). …”
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Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach by Noorulden Basil, Hamzah M. Marhoon, Bayan Mahdi Sabbar, Abdullah Fadhil Mohammed, Osamah Albahri, Ahmed Albahri, Abdullah Alamoodi, Iman Mohamad Sharaf, Amare Merfo Amsal, Mahrous Ahmed, Enas Ali, Sherif S. M. Ghoneim

“…This improvement may reduce operational risks and maintenance costs while increasing efficiency, prolonging UAV service life, and achieving energy savings. …”
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Designing diverse and high-performance proteins with a large language model in the loop. by Carlos A Gomez-Uribe, Japheth Gado, Meiirbek Islamov

“…We present a protein engineering approach to directed evolution with machine learning that integrates a new semi-supervised neural network fitness prediction model, Seq2Fitness, and an innovative optimization algorithm, biphasic annealing for diverse and adaptive sequence sampling (BADASS) to design sequences. …”
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Energy-Adaptive SGHSMC: A Particle-Efficient Nonlinear Filter for High-Maneuver Target Tracking by Chang Ho Kang, Sun Young Kim

“…The proposed method features a novel energy function that automatically adapts to target dynamics while minimizing the need for resampling operations. …”
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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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Development and Use of Biotechnological System Models in Applied Scientific Research by M. A. Kerimov

“…The biotechnical system as a whole remains stochastic, while its control algorithms maintain a probabilistic nature. …”
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Rediscovering histology – the application of artificial intelligence in inflammatory bowel disease histologic assessment by Giovanni Santacroce, Irene Zammarchi, Olga Maria Nardone, Ivan Capobianco, Miguel Puga-Tejada, Snehali Majumder, Subrata Ghosh, Marietta Iacucci

“…By leveraging advanced algorithms, AI enhances diagnostic accuracy, reduces assessment variability and streamlines histological workflows in clinical settings. …”
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Multilayer perceptron deep learning radiomics model based on Gd-BOPTA MRI to identify vessels encapsulating tumor clusters in hepatocellular carcinoma: a multi-center study by Mengting Gu, Wenjie Zou, Huilin Chen, Ruilin He, Xingyu Zhao, Ningyang Jia, Wanmin Liu, Peijun Wang

“…Conclusion We mainly developed a fusion model (Radiology MLP model) that integrated radiology and radiomics features using MLP deep learning algorithm to predict vessels encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC) patients, which yield an incremental value over the radiology and the MLP model.…”
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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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