A new deep learning-based fast transcoding for internet of things applications by Jia Yang, Yonghong Peng, Linbo Qing, Yajuan Xue, Hong Yang

“…Abstract To achieve low-power video communication in Internet of Things, this study presents a new deep learning-based fast transcoding algorithm from distributed video coding (DVC) to high efficiency video coding (HEVC). The proposed method accelerates transcoding by minimizing HEVC encoding complexity. …”
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Features of assessing the investment attractiveness of high-tech projects by I. A. Mandych, A. V. Bykova, O. B. Gaiman

“…The general principles and approaches to methods of evaluating the efficiency were analyzed. A model of the priorities of high-tech projects was presented. …”
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Optimizing Open Radio Access Network Systems with LLAMA V2 for Enhanced Mobile Broadband, Ultra-Reliable Low-Latency Communications, and Massive Machine-Type Communications: A Fram... by H. Ahmed Tahir, Walaa Alayed, Waqar ul Hassan, Thuan Dinh Do

“…LLAMA_V2 was selected for its superior ability to capture complex network dynamics, surpassing traditional AI/ML models. …”
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WORK EXPERIENCE INTERNSHIP THROUGH THE EYES OF TECHNICAL UNIVERSITY STUDENTS (ON THE MATERIALS OF SOCIOLOGICAL RESEARCH) by Alexandr Yu. Myagkov, Maria V. Grigorieva, Irina V. Zhuravleva, Svetlana L. Zhuravleva

“…While carrying out of sociological research, selection of respondents was occurred on the multistage combined (serially-nested) model of sample among students I, III and V courses of six faculties of full-time course of ISPEU. …”
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Mechanosynthesis and thermal bio–sensing of beryllium–based molecularly imprinted polymers by Ana I. Furtado, Joseph W. Lowdon, Kasper Eersels, Bart van Grinsven, Adriana Cruz, Jacinta Serpa, Vasco D.B. Bonifácio, Raquel Viveiros, Teresa Casimiro

“…Subsequently, supercritical CO2 (scCO2) technology was used for efficiently desorb of the template, yielding vacant receptors. …”
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Evaluation of Models for Describing Photosynthetic Light–Response Curves and Estimating Parameters in Rice Leaves at Various Canopy Positions by Yangjie Guo, Yuping Lv

“…The photosynthetic light–response (<i>P</i>_n/<i>I</i>) curve is a crucial tool for accurately estimating photosynthetic parameters. However, selecting the most suitable model from numerous available light–response models is still difficult because of the complex canopy structure. …”
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Determination of 15 Rare Earth Elements in Phosphate Ores by Inductively Coupled Plasma-Mass Spectrometry with Atmospheric Pressure Closed Microwave Digestion by Nan ZHANG, Zhikang ZHENG, Jiasong WANG, Jiangping ZENG

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Analysis of the Influence of Different Turbulence Models on the Prediction of Vehicle Aerodynamic Performance by Luwei Wang, Xingjun Hu, Peng Guo, Zirui Wang, Jingyu Wang, Yuqi Wang, Yan Ma, Ying Li, Jing Zhao, Xu Yang, Ruixing Ma, Yinan Zhu, Jianjiao Deng

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Adaptive Trajectory Optimization for UAV-IRS Systems in 6G Thz Networks Using Multi Agent-DRL by Elmadina Nahla Nur, Saeed Rashid A., Saeid Elsadig, Awouda Ala Eldin, Mujlid Hana M., Elshafie Hashim

“…To tackle this, we propose a Multi-Agent Deep Reinforcement Learning (MADRL) algorithm, which provides an efficient, low-complexity solution for trajectory optimization. …”
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The Research Directed to Results of Activity of the Federal Innovative Platforms Forming Professional Competences of the Sphere of the State and Municipal Procurement Assessment by V. A. Shamakhov, L. G. Karanatova, A. M. Kuzmina

“…Results of the complex research directed to assessment of results of activity of the federal innovative platforms providing professional development and professional retraining of experts in the sphere of purchases of goods (works, services) for the state and municipal needs, conducted on the basis of the developed scientific and methodical model of monitoring of efficiency of their activity with use of technological tools for collecting, the analysis and data storage are presented in this article. …”
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GC-MT: A Novel Vessel Trajectory Sequence Prediction Method for Marine Regions by Haixiong Ye, Wei Wang, Xiliang Zhang

“…In complex marine environments, intelligent vessels require a high level of dynamic perception to process multiple types of information for mitigating collision risks. …”
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Flexible Job Shop Scheduling Optimization Using Genetic Algorithm For Handling Dynamic Factors by Masmur Tarigan, Ford Lumban Gaol, Tuga Mauritsius, Widodo Budiharto

“… This research introduces the Genetic Adaptive Scheduling System (GASS), a novel framework designed to optimize scheduling in Flexible Job Shop Scheduling Problems (FJSP). Due to its complexity, FJSP presents significant challenges stemming from machine flexibility, dynamic routing, and operation precedence constraints. …”
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Real-Time Coordinate Estimation for SCARA Robots in PCB Repair Using Vision and Laser Triangulation by Nuwan Sanjeewa, Vimukthi Madushan Wathudura, Nipun Shantha Kahatapitiya, Bhagya Nathali Silva, Kasun Subasinghage, Ruchire Eranga Wijesinghe

“…The placement of Surface-Mount Device (SMD) components in PCB assembly is efficiently automated using robots and design software-generated coordinate files; however, the PCB repair process remains significantly more complex and challenging. …”
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RLEAFS: Reinforcement Learning-Based Energy Aware Forwarding Strategy for NDN-Based IoT Networks by Naeem Ali Askar, Adib Habbal

“…Our Strategy integrates Q learning algorithm into path selection procedure, focusing on minimizing energy consumption and extending network lifetime while maintaining efficient data delivery. …”
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Mechanical properties and energy absorption of CoCrNi functionally graded TPMS cellular structures by Zhaoyi Wang, Junxian Zhou, Yunzhuo Lu, Dongming Li, Deyu Yue, Xu Zhang, Bingzhi Chen

“…CoCrNi medium-entropy alloy (MEA), combining both high strength and ductility, which can significantly enhance the energy absorption efficiency and resistance to failure deformation of complex energy-absorbing structures. …”
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Network security situation assessment based on dual attention mechanism and HHO-ResNeXt by Dongmei Zhao, Guoqing Ji, Shuiguang Zeng

“…The traditional convolutional neural network (CNN) has a limited receptive field and cannot accurately identify the importance of each channel, making it difficult to solve increasingly complex network security problems. To solve these problems, this paper combines ResNeXt with the Efficient Channel Attention (ECA) module and the Contextual Transformer (COT) block to construct a model to assess network conditions. …”
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Potato plant disease detection: leveraging hybrid deep learning models by Jackson Herbert Sinamenye, Ayan Chatterjee, Raju Shrestha

“…This study proposes a novel approach to improve potato plant disease detection and identification using a hybrid deep-learning model, EfficientNetV2B3+ViT. This model combines the strengths of a Convolutional Neural Network - EfficientNetV2B3 and a Vision Transformer (ViT). …”
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Hybrid Beamforming Design on Riemannian Manifolds for Wideband MIMO Systems by Hyunwoo Nam, Girim Kwon, Hyuncheol Park

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Identification of Lr-genes in the breeding lines of spring soft wheat, tolerant to the pathogen of brown rust in the Central Black earth region by Yu. V. Zeleneva, V. V. Plakhotnik, V. P. Sudnikova

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Historical Roots and Contemporary Trends in Analysis of Law from Economic Standpoint by Aisha Omar

“…The theory of the second best questions unambiguous outcomes, while “internal” analytical criticisms emphasize the need for flexible models that gracefully degrade to reflect real-world complexities. In conclusion, this research paper provides a holistic understanding of the economic analysis of law, emphasizing its dynamic nature, adaptability, and influence across legal traditions.…”
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