Identification and authentication of additively manufactured components using their microstructural fingerprint by Kanhaiya Gupta, Konstantin Poka, Alexander Ulbricht, Anja Waske

“…This study introduces a novel methodology that leverages the intrinsic microstructural features of additively manufactured components for their identification, authentication, and traceability. …”
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AHP-based multi-criteria analysis of multi-cloud data management techniques by Anton Caceres, Larysa Globa

“…Their main advantages, disadvantages, and features of use are given. The research tasks are formalizing the problem, defining cost, performance, security, and implementation effort parameters for each approach, and developing a multi-criteria decision analysis (MCDA) model using the Analytical Hierarchy Process (AHP) method. …”
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Phenotypic and genetic characteristics of retinal vascular parameters and their association with diseases by Sofía Ortín Vela, Michael J. Beyeler, Olga Trofimova, Ilaria Iuliani, Jose D. Vargas Quiros, Victor A. de Vries, Ilenia Meloni, Adham Elwakil, Florence Hoogewoud, Bart Liefers, David Presby, Wishal D. Ramdas, Mattia Tomasoni, Reinier Schlingemann, Caroline C. W. Klaver, Sven Bergmann

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2D affine transform parameters by Gaussian elimination with pivoting by Tariq N. Ataiwe, Israa Hatem, Hisham M. Jawad Al Sharaa

“…Geometric transformation is a technique used to define the properties of common features between different images using the same coordinates basis, This method can be effectively used in image processing and computer vision to facilitate the computation process throughout eliminating the need for solving the inverse of the matrix.…”
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On the Effects of Parameters on Galaxy Properties in CAMELS and the Predictability of Ωm by Gabriella Contardo, Roberto Trotta, Serafina Di Gioia, David W. Hogg, Francisco Villaescusa-Navarro

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Evaluation of Patients’ Received Doses in Chest CT Scan Protocols for COVID-19 Diagnosis by Sadegh Shurche, Tinoosh Almasi, Maryam Tima, Nima Rostampour

“… Purpose: This study aims to investigate and compare the doses received by Corona Virus Disease (Covid-19) patients on Computed Tomography (CT) scans by changing the scan parameters to diagnose the disease and evaluate its course and effects. …”
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Lightweight rice leaf spot segmentation model based on improved DeepLabv3+ by Jianian Li, Long Gao, Xiaocheng Wang, Jiaoli Fang, Zeyang Su, Yuecong Li, Shaomin Chen

“…Meanwhile, the PagFm-Ghostconv Feature Fusion (PGFF) module was proposed to significantly reduce the computational overhead of the model. …”
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Design and Evaluation of Real-Time Data Storage and Signal Processing in a Long-Range Distributed Acoustic Sensing (DAS) Using Cloud-Based Services by Abdusomad Nur, Yonas Muanenda

“…Additionally, the impact of VM parameters on computation time is explored, highlighting the importance of resource optimization in the DAS system design for efficient performance. …”
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PolSAR image classification using complex-valued multiscale attention vision transformer (CV-MsAtViT) by Mohammed Q. Alkhatib

“…The model also demonstrates efficient computational performance, minimizing the number of parameters while preserving high accuracy. …”
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Efficient Packaging Line Object Counting by Cross-Frame Association With Wavelet Convolutions and Trajectory Compensation by Longxuan Wei, Yutao Zhu, Yufeng Li, Ming Qian, Xiang Zuo, Boan Chen, Shiyu Liang, Zhouhan Lin, Junchi Yan

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Monitoring of an Electromechanical Prototype Material for Environmental Parameters Using IoT by P. Bharat Siva Varma, Kothapalli Phani Varma, V. Anjani Kranthi, Anusha Rudraraju, Nalla Nandakishore

“…The article describes a computer prototype for monitoring and controlling the environmental parameters of a communication equipment room. …”
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Quantitative analysis of gait parameters in Parkinson’s disease and the clinical significance by Wenchao Yin, Hong Gao, Beichen Liang, Ruichen Liu, Yue Liu, Chenxin Shen, Xiaohui Niu, Cui Wang

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Spatial–Spectral Hierarchical Multiscale Transformer-Based Masked Autoencoder for Hyperspectral Image Classification by Haipeng Liu, Zhen Ye, Wen-Shuai Hu, Zhan Cao, Wei Li

“…First, after the spatial–spectral feature embedding with a spatial–spectral feature extraction module, to solve the increased computational complexity caused by filling invisible patches in traditional masked autoencoder (MAE), the grouped window attention module is introduced to process only the visible patches of HSIs during spatial–spectral reconstruction, avoiding unnecessary computations for masked ones. …”
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ENHANCING NETWORK INTRUSION DETECTION USING MACHINE LEARNING AND META-MODELLING FOR IMPROVED CYBER SECURITY PERFORMANCE by Sunita, Pankaj Verma, Nitika, Jaspreet Kaur, Vijay Rana

“…Common parameters such as accuracy, precision, recall, and F1-score were computed on each model to allow for a comparative evaluation. …”
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The algorithnt software program for cakulating the mechanical parameters of multilayer rod by Vytautas Kleiza, Rita Laurikietytė

“…The program can be successfully applied for computations of mechanical characteristics of the real (industrial) problems. …”
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Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application by Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov, Dmitry Korzun

“…We propose to use these 11 features and their binary combinations as important biomarkers for ML sensors in the diagnosis of the disease, supporting edge computing on Arduino and cloud IoT service.…”
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Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images by Ahmad Y. A. Bani Ahmad, Jafar A. Alzubi, Manimaran Vasanthan, Suresh Babu Kondaveeti, J. Shreyas, Thella Preethi Priyanka

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TRACTOR GEARBOX: RESEARCH OF SHIFTING GEARS’ PROCESSES by N. N. Demidov, A. A. Krasilnikov, S. I. Hoodorozhkov

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Develop Approach to Predicate Software Reliability Growth Model Parameters Based on Machine learning by anfal A. Fadhil, Asmaa’ H. AL_Bayati, Ibrahim Ahmed Saleh

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A Novel SHiP Vector Machine for Network Intrusion Detection by Sowmya T., E. A. Mary Anita

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