Hybrid generative adversarial network based on frequency and spatial domain for histopathological image synthesis by Qifeng Liu, Tao Zhou, Chi Cheng, Jin Ma, Marzia Hoque Tania

“…This approach advances automated histopathological image generation with potential for clinical applications.…”
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Physiology-informed regularisation enables training of universal differential equation systems for biological applications. by Max de Rooij, Balázs Erdős, Natal A W van Riel, Shauna D O'Donovan

“…The integration of neural networks and mechanistic models, forming universal differential equation (UDE) models, enables the automated learning of unknown model terms with less data than neural networks alone. …”
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Integrating multi-source monitoring data and deep convolutional autoencoder technology for slope failure pattern recognition by Nana Han, Nana Han, Wending Miao, Mingzhi Li, Mohd Ashraf Mohamad Ismail, Qiang Hu, Liyuan Duan, Liyuan Duan, Jintao Tang

“…However, frequent major safety incidents caused by slope failures highlight the urgent need for automated identification of failure events during the operational phase of slopes.MethodsThis study integrates rainfall, surface displacement, and vertical displacement monitoring data, and proposes an automatic failure mode identification method based on deep convolutional autoencoder technology. …”
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FSAS: An IoT-Based Security System for Crop Field Storage by Chandra Prakash, Anurag Barthwal, Shwetank Avikal, Gyanendra Kumar Singh

“…When it comes to agriculture, this idea has been incorporated to make agriculture-related tasks smart, secure, and automated. Agriculture is vital for economic growth and also for the survival of humans. …”
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ZooCNN: A Zero-Order Optimized Convolutional Neural Network for Pneumonia Classification Using Chest Radiographs by Saravana Kumar Ganesan, Parthasarathy Velusamy, Santhosh Rajendran, Ranjithkumar Sakthivel, Manikandan Bose, Baskaran Stephen Inbaraj

“…However, the shortage of radiologists in the Least Developed Countries (LDCs) emphasizes the need for automated pneumonia diagnostic systems. This article presents a Deep Learning model, Zero-Order Optimized Convolutional Neural Network (ZooCNN), a Zero-Order Optimization (Zoo)-based CNN model for classifying CXR images into three classes, Normal Lungs (NL), Bacterial Pneumonia (BP), and Viral Pneumonia (VP); this model utilizes the Adaptive Synthetic Sampling (ADASYN) approach to ensure class balance in the Kaggle CXR Images (Pneumonia) dataset. …”
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A Channel Attention-Driven Optimized CNN for Efficient Early Detection of Plant Diseases in Resource Constrained Environment by Sana Parez, Naqqash Dilshad, Jong Weon Lee

“…Early detection and automated diagnosis systems are crucial to mitigate these challenges. …”
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Design of a Cost-Effective Ultrasound Force Sensor and Force Control System for Robotic Extra-Body Ultrasound Imaging by Yixuan Zheng, Hongyuan Ning, Eason Rangarajan, Aban Merali, Adam Geale, Lukas Lindenroth, Zhouyang Xu, Weizhao Wang, Philipp Kruse, Steven Morris, Liang Ye, Xinyi Fu, Kawal Rhode, Richard James Housden

“…The system integrates patient-to-robot registration, automated scanning path planning, and multi-sensor data fusion, allowing the robot to autonomously locate the patient, target the region of interest, and maintain optimal contact force during scanning. …”
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3D Curvelet-Based Segmentation and Quantification of Drusen in Optical Coherence Tomography Images by M. Esmaeili, A. M. Dehnavi, H. Rabbani

“…To address this need, a fully automated algorithm was developed to segment drusen area and volume from SD-OCT images. …”
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Automatic Implementation of Fuzzy Reasoning Spiking Neural P Systems for Diagnosing Faults in Complex Power Systems by Haina Rong, Kang Yi, Gexiang Zhang, Jianping Dong, Prithwineel Paul, Zhiwei Huang

“…MCFD is realized by automating input and output, and diagnosis processes consists of network topology analysis, suspicious fault component analysis, construction of FRSN P systems for suspicious fault components, and fuzzy inference. …”
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Exploring the Role of Artificial Intelligence on Educational Dynamics: Evaluating its Impact on Pedagogical Practices and Student Learning Outcomes by Sarah Abou Karroum, Nour-Eldin Elshaiekh

“…AI is transforming how human interacts with machine and automate day to day actions which were traditionally performed by humans. …”
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An Artificial-Intelligence- and Telemedicine-Based Screening Tool to Identify Glaucoma Suspects from Color Fundus Imaging by Alauddin Bhuiyan, Arun Govindaiah, R. Theodore Smith

“…Having demonstrated an accurate and fully automated glaucoma-suspect screening system that can be deployed on telemedicine platforms, we plan prospective trials to determine the feasibility of the system in primary-care settings.…”
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Review of Sensor Network-Based Irrigation Systems Using IoT and Remote Sensing by Wei Li, Muhammad Awais, Weimin Ru, Weidong Shi, Muhammad Ajmal, Saad Uddin, Chenchen Liu

“…This review paper highlights the development of an automated irrigation system with portable wireless sensor networks and decision support methods to remotely measure the environmental parameters in an agriculture field. …”
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METHODS OF DISTANCE MEASUREMENT’S ACCURACY INCREASING BASED ON THE CORRELATION ANALYSIS OF STEREO IMAGES by V. L. Kozlov

“…Actively developed tools that allow you to reduce the time costs for processing stereo images, improve the quality of the depth maps construction and automate their construction. The aim of the work is to investigate the possibilities of using various techniques for processing digital images to improve the measurements accuracy of the rangefinder based on the correlation analysis of the stereo image. …”
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The First Saint Petersburg Regional Inflammatory Bowel Diseases Registry on the Basis of the Regional Health Information System: Principles of Functioning, Testing Results, Plan of... by Yu. P. Uspenskiy, A. M. Sarana, L. N. Melentyeva, A. V. Yazenok, S. V. Petrov, Yu. A. Fominykh, S. V. Ivanov, A. V. Shotik, A. M. Segal, T. V. Gorbacheva, S. D. Plotnikova, K. V. Dronov

“…The accumulation of prospective data in the Clinical Module continues, which in the near future will make it possible to test and configure the automated analytical block of the registry.Conclusion. …”
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Development of a novel, high-throughput imaged capillary isoelectric focusing-Western method to characterize charge heterogeneity of monoclonal antibody heavy and light chains by Gangadhar Dhulipala, Alanna Broszeit, Kun Lu, Nisha Palackal, Erica Pyles

“…We thus developed a novel, automated high-throughput iCIEF-Western method to directly quantify the HC and LC charge variants with high sensitivity under denatured and reduced conditions. …”
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Ventricular Depolarization Abnormalities and Their Role in Cardiac Risk Stratification — A Narrative Review by Maarten Blondeel, Tomas Robyns, Rik Willems, Bert Vandenberk

“…Besides eliminating bias, these automated analyses bypass the need for human interpretation, thereby paving the way for large population studies.…”
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Assessing the antiproliferative effect of biogenic silver chloride nanoparticles on glioblastoma cell lines by quantitative image‐based analysis by Nathalia Müller, Mateus Eugenio, Luciana F. Romão, Jorge Marcondes de Souza, Soniza V. Alves‐Leon, Loraine Campanati, Celso Sant’Anna

“…Herein, the antiproliferative effect of AgCl‐NPs on glioblastoma cell lines (GBM02 and GBM11) and on astrocytes was evaluated through automated quantitative image‐based analysis (HCA) of the cells. …”
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Autonomous Real-Time Speed-Limit Violation Detection and Reporting Systems Based on the Internet of Vehicles (IoV) by Samir A. Elsagheer Mohamed, Mohammad T. Parvez, Khaled A. AlShalfan, Mahmoud Y. Alaidy, Mohammed A. Al-Hagery, Mohamed T. Ben Othman

“…Even the sophisticated conventional systems that use cameras or RFIDs for automating speed-limit violations have several drawbacks, including cost, complexity, reliability, and maintenance. …”
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Plant Leaf Identification Using Feature Fusion of Wavelet Scattering Network and CNN With PCA Classifier by S. Gowthaman, Abhishek Das

“…This approach delivers good accuracy while minimizing computational demands, providing a practical and efficient solution for automated leaf classification, particularly in resource-constrained environments.…”
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Optimisation of the Monitoring Strategy of Macroinvertebrate Communities in the River Dender, in Relation to the EU Water Framework Directive by Tom P. D’heygere, Peter L.M. Goethals, Niels De Pauw

“…In addition to biological sampling of macroinvertebrates and fish, automated measurement stations were also used to investigate the spatial-temporal variability of the physical-chemical water quality. …”
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