SurfaceVision: An Automated Module for Surface Fault Detection in 3D Printed Products by Laukesh Kumar, Manoj Kumar Satyarthi

“…This paper introduces SurfaceVision, an automated system for surface fault detection in 3D printed products, leveraging the ResNet-18 architecture as the backbone. …”
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Fully convolutional neural networks for processing observational data from small remote solar telescopes by Piotr Jóźwik-Wabik, Adam Popowicz

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Segmentation Techniques Applied to CNNs for Cervical Cancer Classification by Ana Ortiz-Gonzalez, Raquel Martinez-Espana, Juan Morales-Garcia, Baldomero Imbernon, Jose Martinez-Mas, Mauricio A. Alvarez, Oscar David Romero, Juan Pedro Martinez-Cendan, Andres Bueno-Crespo

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Design and implementation of QoS differential service scheme based on 4/5G converged network by Zhu Jialin, Zhang Min, Li Kai, Liu Xin, Zhang Liwei

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Enhancing Software-Defined Networking (SDN) Resilience against Cyberattacks: A Markov Model-Based Approach by Ahmad Jalili

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Research on laser point cloud classification based on Light-BotNet by Lei Genhua, Wang Lei, Zhang Zhiyong

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Prediction of Omicron Virus Using Combined Extended Convolutional and Recurrent Neural Networks Technique on CT-Scan Images by Anand Kumar Gupta, Asadi Srinivasulu, Kamal Kant Hiran, Goddindla Sreenivasulu, Sivaram Rajeyyagari, Madhusudhana Subramanyam

“…This research article aims to introduce a combined ML and DL technique based on the combination of an Extended Convolutional Neural Network (ECNN) and an Extended Recurrent Neural Network (ERNN) to diagnose and predict Omicron virus-infected cases automatically using chest CT-scan images. To overcome the drawbacks of the existing system, this research proposes a combined research model that is ECNN-ERNN, where ECNN is used for the extraction of deep features and ERNN is used for exploration using extracted features. …”
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Load and Energy Consumption Analysis of Rope Winches Used in Mining Rail Transport by Krzysztof Krauze, Ryszard Klempka, Kamil Mucha, Tomasz Wydro

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High sensitivity acoustic flow sensing based on bio-inspired web-like structure for panoramic acoustic perception by Jianyang Hu, Bin Liu, Jianan Feng, Chen Chen, Lei Wang, Yiqun Wang, Jie Lin, Peng Jin

“…Meanwhile, the sensing system demonstrates promise in automatic driving, disaster monitoring and early warning, human-computer interaction, national defense security, etc.…”
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Medical Images Segmentation Based on Unsupervised Algorithms: A Review by Revella E. A. Armya, Adnan Mohsin Abdulazeez

“… Medical image segmentation plays an essential role in computer-aided diagnostic systems in various applications. …”
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Blended Ensemble Learning for Robust Normal Behavior Modeling of Wind Turbines by Jianghao Zhu, Tingting Pei, Le Su, Bin Lan, Wei Chen

“…Notably, when tested across three distinct operational environments, the model maintained robust performance (R² > 0.97), demonstrating strong generalization capability. The system automatically detects anomalies using a 0.1% threshold, enabling real‐time monitoring of 78 variables across 136,000+ operational records. …”
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Diagnosis of Tuberculosis Using Medical Images by Convolutional Neural Networks by Abolfazl Pordeli Shahreki, Fatemeh Sadat Hosseini-Baharanchi, Masoud Roudbari

“…This is why it is necessary to use an accessible and accurate diagnostic system. This research aimed to design an accurate and accessible automatic diagnosis system that can solve diagnosis problems using deep learning.Methods: Six convolutional neural networks (CNNs), InceptionV3, ResNet50, DenseNet201, MnasNet, MobileNetV3, and EfficientNet-B4, were trained by transfer learning, the Adam optimizer, and 20 training epochs using the new, large, and accurate TBX11K dataset. …”
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Pedagogical design of a digital teaching assistant in massive professional training for the digital economy by E. G. Andrianova, L. A. Demidova, P. N. Sovetov

“…The developed structure of the proposed DTA system was presented. Considering the automatic generation of programming tasks, classes of practical tasks that reflected the modern specifics of software development were identified along with examples of their generation. …”
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A mm-Wave 2D Ultra-Wideband Imaging Radar for Breast Cancer Detection by Stefano Moscato, Giulia Matrone, Marco Pasian, Andrea Mazzanti, Maurizio Bozzi, Luca Perregrini, Francesco Svelto, Giovanni Magenes, Paolo Arcioni, Paul Summers

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A Real-time Train Perception Method for Obstacle Intrusion Based on Front View Projection by HE Qian, JIANG Guotao, DONG Wenbo, PI Zhichao, YANG Hailang, CHEN Meilin

“…In order to improve the obstacle perception ability of automatic train operation in rail transit, it is necessary to increase the train's ability to perceive obstacle intrusion in the operational scenarios. …”
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Stomatal State Identification and Classification in Quinoa Microscopic Imprints through Deep Learning by Abdul Razzaq, Sharaiz Shahid, Muhammad Akram, Muhammad Ashraf, Shahid Iqbal, Aamir Hussain, M. Azam Zia, Sulman Qadri, Najia Saher, Faisal Shahzad, Ali Nawaz Shah, Aziz-ur Rehman, Sven-Erik Jacobsen

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Incorporating Attention Mechanism Into CNN-BiGRU Classifier for HAR by Ohoud Nafea, Wadood Abdul, Ghulam Muhammad

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Enhancing Latent Defect Detection in Built-In Spindle Assembly Lines Through Vibration Data Analysis by Kuo-Hao Li, Chao-Nan Wang, Yao-Chi Tang

“…This study proposed a novel machine learning–driven methodology for detecting potential defects in computer numerical control (CNC) spindle manufacturing. …”
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Crop breeding-related data and application of big data technologies in crop breeding by FAN Longjiang, WANG Weidi, WANG Bin, YE Chuyu, SHU Qingyao, ZHANG Hui

“…The technique will include a computer system to analyze the data and a human machine interface for users (breeders). …”
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Fast Content Placement and Alignment in 3D Scenes by Robin Wiethüchter, Saikishore Kalloori, Ribin Chalumattu

“…We present a system for fast content placement on flat surfaces in 3D scenes that leverages plane detection and computer vision. …”
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