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

“…Possible restrictions, however, on applicability in very large data sets and computation time complexities would need further probing. …”
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Advanced deep learning architectures for enhanced mammography classification: a comparative study of CNNs and ViT by Shubhi Sharma, Yeshwant Singh, Tanupriya Choudhury

“…Abstract Breast cancer is a leading cause of mortality among women worldwide, and early detection via mammography is critical for improving patient outcomes. …”
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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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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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Damage Localization Using Fiber Bragg Grating Sensors in Self-referencing Conguration: A Numerical Study by Abhishek Patange, Farzam Omidi Moaf, Piotr Fiborek, Adityan Arumuganainar, Rohan Nandkishor Soman

“…The proposed methodology reduces sensor requirements, lowers system complexity and cost, and enables efficient SHM solutions in extreme or large-scale environments. …”
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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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Generating Synthetic Datasets with Deep Learning Models for Human Physical Fatigue Analysis by Arsalan Lambay, Ying Liu, Phillip Morgan, Ze Ji

“…This research aims to provide researchers with an innovative method to tackle data-driven ML challenges of data scarcity and further enhance ML technology’s efficiency through training on SD. This study not only provides an approach to create complex realistic datasets but also helps in bridging the gap of Industry 5.0 data challenges for the purpose of innovations and worker well-being by improving detection capabilities.…”
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Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications by Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique

“…Then, we analyze these methods based on their achieved CL desiderata, computational and memory costs, as well as network complexity, hence emphasizing the need for energy-efficient CL. …”
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Liposomal and Nanostructured Lipid Nanoformulations of a Pentacyclic Triterpenoid Birch Bark Extract: Structural Characterization and In Vitro Effects on Melanoma B16-F10 and Walke... by Dumitriţa Rugină, Mihai Adrian Socaciu, Madalina Nistor, Zorita Diaconeasa, Mihai Cenariu, Flaviu Alexandru Tabaran, Carmen Socaciu

“…<b>Methods</b>: Appropriate solvents were selected for efficient TTs extraction, and original recipes were used to obtain Pegylated liposomes and nanolipid complexes with entrapped TTs, comparative to pure standards (betulinic acid and doxorubicin) in similar conditions. …”
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Bringing Intelligence to the Edge for Structural Health Monitoring: The Case Study of the Z24 Bridge by Ali Dabbous, Riccardo Berta, Matteo Fresta, Hadi Ballout, Luca Lazzaroni, Francesco Bellotti

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High-Precision Pose Measurement of Containers on the Transfer Platform of the Dual-Trolley Quayside Container Crane Based on Machine Vision by Jiaqi Wang, Mengjie He, Yujie Zhang, Zhiwei Zhang, Octavian Postolache, Chao Mi

“…To address the high-precision measurement requirements for container pose on dual-trolley quayside crane-transfer platforms, this paper proposes a machine vision-based measurement method that resolves the challenges of multi-scale lockhole detection and precision demands caused by complex illumination and perspective deformation in port operational environments. …”
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Emotion recognition with a Randomized CNN-multihead-attention hybrid model optimized by evolutionary intelligence algorithm by Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Filippo Sanfilippo

“…Emotion recognition systems are vital for various applications, yet existing models often face limitations in computational efficiency and accuracy, especially when handling complex emotional expressions in sequential data. …”
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Quantum key distribution through quantum machine learning: a research review by Krupa Purohit, Ajay Kumar Vyas

“…QML algorithms improve the key generation of QKD, by improving quantum state selection and reducing measurements. This also allows them to increase efficiency because it identifies trends in errors and applies corrections, making quantum cryptography a more dependable option. …”
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Development and validation of an analytical procedure for the determination of residual protein A in active substances of therapeutic monoclonal antibodies by E. V. Nozdrina, D. A. Mazalev, D. R. Rogozina, S. P. Zhivoderov, I. V. Lyagoskin, R. R. Shukurov

“…To increase the efficiency of enzyme-linked immunosorbent assay (ELISA), it is necessary to develop a sample preparation step that can irreversibly break the bond in the protein A–mAb complex.AIM. …”
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تحليل خصائص وكفاءة شبكة الطرق بحي المنتزه - محافظة الإسكندرية (دراسة في جغرافية النقل الحضري باستخدام نظم المعلومات الجغرافية)... by أسامة محمد منصور علي, أحمد سمير السعيد الخراشي

“…In areas with complex topography, the network is less connected, making access more difficult. …”
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Signal correction for combinational automation devices on the basis of Boolean complement with control of calculations by parity by V. V. Sapozhnikov, Vl. V. Sapozhnikov, D. V. Efanov

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Enhanced Multiple Pulse Position Modulation Aided Reverse Polarity Optical OFDM System With Extended Dimming Control by Zixian Yang, Ming Jiang, Lin Zhang, Hong-Zhou Tan

“…It is shown that the proposed system with extended dimming control can achieve the highest effective spectral efficiency in most scenarios without substantially increasing the computational complexity, while still maintaining a power consumption level similar to those of the reference systems.…”
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An Ensemble Classification Method for High-Dimensional Data Using Neighborhood Rough Set by Jing Zhang, Guang Lu, Jiaquan Li, Chuanwen Li

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A Multiobjective Brain Storm Optimization Algorithm Based on Decomposition by Cai Dai, Xiujuan Lei

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Application Research of Key Frames Extraction Technology Combined with Optimized Faster R-CNN Algorithm in Traffic Video Analysis by Zhi-guang Jiang, Xiao-tian Shi

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