Prediction models for cognitive impairment in middle-aged patients with cerebral small vessel disease by Wei Zheng, Xiaoyan Qin, Ronghua Mu, Peng Yang, Bingqin Huang, Bingqin Huang, Zhixuan Song, Xiqi Zhu, Xiqi Zhu

“…An Unet-based deep learning neural network model was developed to automate the segmentation of the hippocampus. Features were extracted for each subject, and the least absolute shrinkage and selection operator (LASSO) method was used to select radiomic features. …”
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A Review of Synthesis Techniques for Phased Antenna Arrays in Wireless Communications and Remote Sensing by Stanislav Ogurtsov, Diego Caratelli, Zhe Song

“…Therefore, there is a need for reliable yet fast automated computer-aided design (CAD) and synthesis tools that can support the development of 5G antenna array solutions, from the initial prototyping stage to the final manufacturing tolerance analysis. …”
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TockyPrep: data preprocessing methods for flow cytometric fluorescent timer analysis by Masahiro Ono

“…Results: In this study, we introduce the R package that automates the data preprocessing of Timer fluorescence data from flow cytometry experiments for quantitative analysis at single-cell level. …”
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Mid-infrared spectra of dried and roasted cocoa (Theobroma cacao L.): A dataset for machine learning-based classification of cocoa varieties and prediction of theobromine and caffe... by Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán

“…The tools developed from this dataset could significantly advance automated processes in the cocoa industry and support decision-making on an industrial scale, facilitating real-time quality control of cocoa-based products, improving cocoa variety classification, and optimizing bean selection, blending strategies, and product formulation, while reducing the need for labor-intensive and costly quantification methods. …”
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PlantAIM: A new baseline model integrating global attention and local features for enhanced plant disease identification by Abel Yu Hao Chai, Sue Han Lee, Fei Siang Tay, Hervé Goëau, Pierre Bonnet, Alexis Joly

“…Conventionally, detection has relied on plant pathologists, but recent advances in deep learning, particularly the Vision Transformer (ViT) and Convolutional Neural Network (CNN), have made it feasible for automated plant disease identification. Despite their prominence, there are still significant gaps in our understanding of how these models differ in feature extraction and representation, particularly in complex multi-crop disease identification tasks. …”
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DLCDroid an android apps analysis framework to analyse the dynamically loaded code by Rati Bhan, Rajendra Pamula, K Susheel Kumar, Nand Kumar Jyotish, Prasun Chandra Tripathi, Parvez Faruki, Jyoti Gajrani

“…Furthermore, we enhance DLCDroid’s functionality by integrating it with an event-based trigger solution, making the framework more scalable and fully automated in its analysis process.…”
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Distinguishing Reality from AI: Approaches for Detecting Synthetic Content by David Ghiurău, Daniela Elena Popescu

“…Ethical concerns, such as privacy violations, algorithmic bias, false positives, and overreliance on automated systems, are also critically discussed. Furthermore, the paper addresses legal and regulatory frameworks, including intellectual property challenges and emerging legislation, emphasizing the need for robust governance to mitigate misuse. …”
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Empowering Security Operation Center With Artificial Intelligence and Machine Learning—A Systematic Literature Review by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…Various methods, ranging from automated incident response and behavioral analytics to neural networks and deep learning, have been classified and compared. …”
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Diagnosis of COVID-19 from Chest X-Ray Images Using Wavelets-Based Depthwise Convolution Network by Krishna Kant Singh, Akansha Singh

“…Specifically, chest X-Ray images can be analysed to identify the presence of COVID-19 in a patient. In this paper, an automated method for the diagnosis of COVID-19 from the chest X-Ray images is proposed. …”
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Association between Optical Coherence Tomography Measurements and Clinical Parameters in Idiopathic Intracranial Hypertension by Priscilla Fernandes Nogueira, Gustavo Coelho Caiado, Carolina P. B. Gracitelli, Fernando Meister Martins, Felipe Chaves Duarte Barros, Sandro Luis De Andrade Matas, Sérgio Henrique Teixeira, Luciana da Cruz Noia, Danilo Andriatti Paulo

“…All participants underwent comprehensive ophthalmological examination followed by spectral-domain OCT (SD-OCT) and standard automated perimetry using the 30–2 program of the Humphrey visual field analyzer. …”
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An MR Brain Images Classifier System via Particle Swarm Optimization and Kernel Support Vector Machine by Yudong Zhang, Shuihua Wang, Genlin Ji, Zhengchao Dong

“…Automated abnormal brain detection is extremely of importance for clinical diagnosis. …”
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Effects of Age and Gender on Hand Motion Tasks by Wing Lok Au, Irene Soo Hoon Seah, Wei Li, Louis Chew Seng Tan

“…Wearable and wireless motion sensor devices have facilitated the automated computation of speed, amplitude, and rhythm of hand motion tasks. …”
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And the Oscar Goes to Peripheral Blood Film for the Detection of Lead Poisoning in a Complicated Toxic Patient: A Case Report with a Review of Laboratory Clues by Amir Zamani, Ehsan Sarraf Kazerooni, S. Saeed Kasaee, Mohammad Hossein Anbardar, Sahand Mohammadzadeh, Golsa Shekarkhar, Neda Soleimani

“…In addition to verifying the results of automated cell counters, it has the potential to identify some pathologic and morphologic changes that remain hidden using the cell counters alone. …”
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Problems and prospects for livestock industry development in the context of digitalization of the agro-industrial complex in the region (based on the materials of the Republic of B... by Z. T. Nasretdinova, A. M. Khazieva, A. R. Nasretdinova

“…Prospects for livestock farming digitalization development in the region have been considered, such as smart livestock farms development through automated systems for climate control, feeding, milking, and animal health monitoring, use of sensors and the Internet of Things, artificial intelligence application for data analysis, yield forecasting, feeding and treatment processes optimization, development of a single digital platform for information exchange between farmers, veterinary services, fodder suppliers, and other participants, and development of a single digital platform for the exchange of information among farmers, veterinary services, feed suppliers, and other stakeholders. …”
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Catfishes from the North-Western Part of Lake Tanganyika: Contribution to a Reference Library of DNA Barcodes by Archimède Mushagalusa Mulega, Arthur F. Boom, Imane Rahmouni, Hocein Bazairi, Abdelaziz Benhoussa, Maarten P. M. Vanhove, Maarten Van Steenberge

“…For <i>Chrysichthys</i>, automated methods, such as ABGD, failed to delineate species. …”
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Comparative analysis of the DCNN and HFCNN Based Computerized detection of liver cancer by Sandeep Dwarkanth Pande, Pala Kalyani, S Nagendram, Ala Saleh Alluhaidan, G Harish Babu, Sk Hasane Ahammad, Vivek Kumar Pandey, G Sridevi, Abhinav Kumar, Ebenezer Bonyah

“…Researchers have explored numerous machine learning (ML) techniques and deep learning (DL) approaches aimed at the automated recognition of liver disease by analysing computed tomography (CT) images. …”
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DockCADD: A streamlined in silico pipeline for the identification of potent ribosomal S6 Kinase 2 (RSK2) inhibitors by El Mehdi Karim, Meriem Khedraoui, Abdelkbir Errougui, Yasir S. Raouf, Abdelouahid Samadi, Samir Chtita

“…Herein, we developed an open-source computational pipeline, identified as DockCADD (available at https://github.com/mehdikariim/DockCADD), which enables the identification of potent RSK2 inhibitors by automated virtual screening, ADME-Tox profiling, and molecular dynamics (MD) simulations. …”
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Smart technologies to improve the management and resilience to climate change of livestock housing: a systematic and critical review by Francesco Bordignon, Giorgio Provolo, Elisabetta Riva, Maria Caria, Giuseppe Todde, Gabriele Sara, Francesco Cesarini, Giampiero Grossi, Andrea Vitali, Nicola Lacetera, Andrea Pezzuolo

“…Smart technologies such as sensors, data analytics, and automated systems could play a crucial role in enhancing the resilience of livestock housing to climate change. …”
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A Dual-Channel and Frequency-Aware Approach for Lightweight Video Instance Segmentation by Mingzhu Liu, Wei Zhang, Haoran Wei

“…Video instance segmentation, a key technology for intelligent sensing in visual perception, plays a key role in automated surveillance, robotics, and smart cities. …”
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Determination of the market value for goods in the process of forensic commodity expertise by L. A. Solonichenko, D. Yu. Sereda

“…This allows not only to increase objectivity, but also to automate the process of analysing market data, which helps speed up expert procedures. …”
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