A Generalized Multi-Layer Framework for Video Coding to Select Prediction Parameters by Muhammad Asif, Maaz Bin Ahmad, Imtiaz A. Taj, Muhammad Tahir

“…The exploitation of the RDO technique contributes significantly to increase the computational complexity of the coding process. In this paper, a generalized multi-layer framework is presented, which provides a hierarchical optimized way to select MB prediction parameters. …”
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Cellular porosity in dentin exhibits complex network characteristics with spatio-temporal fluctuations. by Lucas Chatelain, Nicolas Tremblay, Elsa Vennat, Elisabeth Dursun, David Rousseau, Aurélien Gourrier

“…Residual errors were classified in 4 topological classes related to fluorescence staining and confocal detection efficiency, instrumental resolution and image processing. …”
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Optimizing of Universal DEA Model with Multi-Level Integration under Neutrosophic Environment by Hamiden Abd El- Wahed Khalifa, Loay Alkhalifa, Sultan S. Alodhaibi, Basma E. El- Demerdash

“…The proposed model seeks to identify inefficient organizations so as to improve specifically on those areas to have a much better outcome in overall efficiency. This provides decision-makers with very strong and versatile options for efficient measures, even in the context of heterogeneous and imprecise data. …”
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Evaluating the Nuclear Reaction Optimization (NRO) Algorithm for Gene Selection in Cancer Classification by Shahad Alkamli, Hala Alshamlan

“…<b>Background/Objectives</b>: Cancer classification using microarray datasets presents a significant challenge due to their extremely high dimensionality. This complexity necessitates advanced optimization methods for effective gene selection. …”
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A New Hybrid PSO-HHO Wrapper Based Optimization for Feature Selection by Sumbul Azeem, Shazia Javed, Iftikhar Naseer, Oualid Ali, Taher M. Ghazal

“…Metaheuristic algorithms, mainly inspired by nature, are strong candidates for the feature selection process, as they can efficiently search large solution spaces. …”
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Application of Hardware and Software Complex for Individualisation of Students’ Sport and Recreational Physical Activities by O. N. Moskovchenko, L. V. Zakharova, N. V. Tretyakova, N. V. Lyulina, O. A. Kattsin, G. S. Savolaynen

“…Thus, PE teacher can systematically increase the adaptation potential of students due to inclusion in a training course of corrective and rehabilitation programmes. The efficiency of IT in sport and recreational physical activities was scientifically based. …”
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Low-Complexity Distortionless Techniques for Peak Power Reduction in OFDM Communication Systems by A. Ghassemi, T. A. Gulliver

“…Implementation of these techniques typically employ direct computation of the IDFT, which is not the most efficient solution. In this paper, we consider the development and performance analysis of these distortionless techniques in conjunction with low-complexity IFFT algorithms to reduce the PAPR of the OFDM signal. …”
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A Novel Hierarchical Clustering Algorithm Based on Density Peaks for Complex Datasets by Rong Zhou, Yong Zhang, Shengzhong Feng, Nurbol Luktarhan

“…Numerous clustering algorithms have been proposed to investigate what factors constitute a cluster and how to efficiently find them. The clustering by fast search and find of density peak algorithm is proposed to intuitively determine cluster centers and assign points to corresponding partitions for complex datasets. …”
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SCIENTIFIC APPROACH TO A COMPLEX ASSESSMENT OF DETERMINANTS OF THE INSURANCE MARKET DEVELOPMENT OF UKRAINE by L. V. Popova, N. O. Kovalchuk, D. D. Polagnyn

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Parameter Adaptive LCD Screen Defect Detection Framework by LIU Wang, SHAO Huili, HE Yongjun, XIE Yining, CHEN Deyun

“…It is necessary to detect defects in the production process of LCD screens for quality improvements Manual detection brings a heavy workload and low accuracy Therefore, an efficient and accurate automatic detection method is urgently needed To this end, this paper proposes a new defect detection framework, which mainly includes screen area extraction, preprocessing, threshold segmentation and defect selection By adaptive adjustment of parameters, the detection method can adapt to various complex situations In order to eliminate the influence of illumination changes, the defect region is segmented by automatic parameter adjustment in the threshold segmentation First, the maximum grayscale value of the image is calculated, and then the fixed parameters and the coefficient of the defect image are determined according to the nodefect image, and finally the maximum value which was selected as the minimum threshold of the threshold segmentation from the fixed parameters and the product of the maximum grayscale value and the coefficient In addition, in order to solve the problem that the brightness difference of the images captured by lowresolution cameras is too small to detect defects in the saturation condition, selfadaptive adjustment of exposure parameters was used to collect images to process different parts of images with large difference in light and shade Experiments show that the method can achieve high performance and efficiency in detecting defects such as points, lines, Mura, saturation…”
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A framework for complex signal processing via synthetic biological operational amplifiers by Wenjun Cao, Lili Liu, Qingxu Sun, Yang Shan, Ye Chen

“…Abstract Engineering genetic circuits to process complex biological signals remains a significant challenge due to non-orthogonal signal responses that limit precise control. …”
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Contextual Vulnerability Should Guide Fair Subject Selection in Xenotransplantation Clinical Trials by Gianna Strand

“…Injustices in Organ Allocation Solid organ allocation systems are varied but aim for equity and efficiency in granting individuals with similar claims a fair opportunity to access the scarce resource. …”
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Multifunctional Magnetic Ionic Liquid‐Carbon Nanohorn Complexes for Targeted Cancer Theranostics by Yun Qi, Eijiro Miyako

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LLMAGENTNET: A COLLABORATIVE NETWORK OF AUTONOMOUS AI AGENTS FOR COMPLEX TASK EXECUTION by А. Р. Бідочко, Я. І. Виклюк

“… Recent advancements in Large Language Models (LLMs) have opened new horizons for building autonomous AI agents capable of executing complex, multi-step tasks across a wide range of domains. …”
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Analysis of Pharmaceutical Active Compounds in Complex Water Samples: Sample Filtration as an Option by Sofia Silva, João Rodrigues, Vitor V. Cardoso, Rui N. Carneiro, Cristina M. M. Almeida

“…This can be especially difficult when working with complex matrices such as natural waters and wastewater. …”
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Improved YOLO for long range detection of small drones by Sicheng Zhou, Lei Yang, Huiting Liu, Chongqin Zhou, Jiacheng Liu, Yang Wang, Shuai Zhao, Keyi Wang

“…The model demonstrates strong cross-dataset generalization, balancing accuracy and efficiency. These findings contribute to advancements in small drone target detection.…”
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OFF-PEAK WATER DISPERSAL BASED ON STEAM SELECTING OF NPP ENERGY BLOCKS WITH PWR by V. A. Khrustalev, B. M. Suchkov

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Research Progress on Rapid Detection of Pyrethroid Pesticide Residues by Xiaoyao WANG, Siyao ZHONG, Xuping SHENTU, Zihong YE, Haizhi HUANG, Xiaoping YU

“…Therefore, it is urgent to develop efficient and sensitive rapid detection technology for PYRs to realize its on-site detection in food and agricultural products. …”
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RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space by Yafei Liu, Na Liu, Hao Li, Yi Jiang, Junwu zhu

“…This strategy is innovative in improving relay selection efficiency and optimizing network performance. …”
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Synergistic feature selection and distributed classification framework for high-dimensional medical data analysis by D. Dhinakaran, L. Srinivasan, S. Edwin Raja, K. Valarmathi, M. Gomathy Nayagam

“…Feature selection and classification efficiency and accuracy are key to improving decision-making regarding medical data analysis. …”
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