Transportation of perishable goods by air: handling problems at Russian airports by I. O. Poleshkina

“…The delays are connected with the poor development of perishable goods handling cargo terminals and also with loads of paper work because the system of electronic workflow and automated checking of markings doesn’t exist. The model of electronic workflow in the International Supply Chain which utilizes pre-flight and pre-loading preliminary information about the cargo was offered. …”
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Benthos-DETR: a high-precision efficient network for benthic organisms detection by Weibo Rao, Gang Chen, Yifei Zhang, Jue Cang, Shusen Chen, Chenyang Wang

“…The intelligent, automated, and high-precision detection of underwater targets represents a challenging yet pivotal issue in marine science. …”
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Design of Instrumentation and Control Components of Power Distribution Systems by Y. A. Klimenko, Y. E. Lvovich, A. P. Preobrazhensky

“…Methods for constructing automated design systems, optimization, system analysis, mathematical modeling, and adaptive control were used. …”
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Architecture-aware minimization (A2M): how to find flat minima in neural architecture search by Matteo Gambella, Fabrizio Pittorino, Manuel Roveri

“…A ^2 M can be easily integrated into existing differentiable NAS frameworks, offering a versatile tool for future research and applications in automated machine learning. We will open-source our code at https://github.com/AI-Tech-Research-Lab/AsquaredM .…”
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STATE AND STRENGTH-DEFORMABILITY PROPERTIES OF THE MIRNY MINING AND PROCESSING PLANT (MPP) TECHNOGENIC TAILINGS DAM DEPOSITS AS A FACTOR OF DAM STABILITY by E. P. Dushkin, V. V. Akulova, A. A. Rybchenko, A. M. Yannikov

“…The granulometric and mineralogical compositions, as well as physical, physical-chemical and mechanical properties were determined according to standard methods using modern equipment (Analysette 22 NanoTec granulometric analyser, automated test complex ASIS).It has been found that the technogenic strata are layers of loose rock represented mainly by silty-clayey (sandy loam, loam and clay), less often by sandy material. …”
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Satellite-based analysis uncovers uneven solar PV distribution across Japan and its consumption of forest and agricultural lands by Shoki Shimada, Wataru Takeuchi

“…A critical first step in exploring these research opportunities is the creation of a comprehensive PV database that describes the locations and extents of existing PV installations. Automated solar PV detection in satellite remote sensing, based on a machine learning approach, is particularly suitable for studying the characteristics of national-scale solar PV distribution and its impact on the environment. …”
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RoadDiffBox: Automatic Road Distress Diagnosis through Controlled Image Generation and Semi-Supervised Learning by Yuanyuan Hu, Ning Chen, Hancheng Zhang, Yue Hou, Pengfei Liu

“…In recent years, artificial intelligence (AI)-based road distress detection methods have been widely used as convenient and automated approaches, while the AI-based methods heavily depend on a large amount of high-quality images, limiting the real engineering applications. …”
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Know-Thy-Basis: Decomposing F26 for Lightweight S-box Implementation by Dilip Sau, Sumanta Sarkar, Dhiman Saha, Kalikinkar Mandal

“…Overall, this work constitutes an extensive hardware characterization of a class of cryptographically significant 6-bit S-boxes giving us interesting insights into the systematic lightweight implementation of S-boxes without relying on an automated tool. …”
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RETRACTED ARTICLE: A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications by Hadi Hashemzadeh, Seyedehsamaneh Shojaeilangari, Abdollah Allahverdi, Mario Rothbauer, Peter Ertl, Hossein Naderi-Manesh

“…The high mortality rate in lung cancer is in part due to late-stage diagnostics as well as spread of cancer-cells to organs and tissues by metastasis. Automated lung cancer detection and its sub-types classification from cell’s images play a crucial role toward an early-stage cancer prognosis and more individualized therapy. …”
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Quality Management in Software Development by M. D. Birulia

“…In addition, the proposed scheme can be the basis for automating code deployment. The solution will reduce development time. …”
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Improving the effectiveness of screening for chronic noncommunicable diseases using artificial intelligence-based technologies by P. V. Seliverstov, V. B. Grinevich, V. V. Shapovalov, E. V. Kryukov

“…The introduction of automated screening diagnostic systems using artificial intelligence is of genuine interest among young people. …”
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Using Surrogate Models in the Construction of a Pareto-Optimal Positioning Electropneumatic Actuator with Discrete Pneumatic Valves by M. O. Sheykin, S. N. Cherkasskikh, D. V. Shilin, V. V. Fedenkov

“…The developed approach makes it possible to significantly reduce the frequency of switching distributors without substantial losses in the quality of transients, which helps to extend the service life of equipment and increase the reliability of automated systems. The use of surrogate models and neural network technology opens up new prospects for faster design of complex systems.…”
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An integrated deep convolutional neural networks framework for the automatic segmentation and grading of glioma tumors using multimodal MRI scans by Otung John Peter Odong, Mohammed Abo-Zahhad, Moataz Abdelwahab

“…Manual brain tumor evaluation from MRI scans is labor-intensive, relies heavily on clinician experience, and is prone to errors. Consequently, automated diagnosis of brain tumors is essential for optimal clinical management and glioma surgical interventions. …”
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Lightweight convolutional neural networks using nonlinear Lévy chaotic moth flame optimisation for brain tumour classification via efficient hyperparameter tuning by Amin Abdollahi Dehkordi, Mehdi Neshat, Alireza Khosravian, Menasha Thilakaratne, Ali Safaa Sadiq, Seyedali Mirjalili

“…Abstract Deep convolutional neural networks (CNNs) have seen significant growth in medical image classification applications due to their ability to automate feature extraction, leverage hierarchical learning, and deliver high classification accuracy. …”
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AI-Driven segmentation and morphogeometric profiling of epicardial adipose tissue in type 2 diabetes by Fan Feng, Abdallah I. Hasaballa, Ting Long, Xinyi Sun, Justin Fernandez, Carl-Johan Carlhäll, Jichao Zhao

“…We aim to develop a shape-aware, AI-based method for automated segmentation and morphogeometric analysis of EAT in T2D. …”
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Comparative analysis of machine learning models for malaria detection using validated synthetic data: a cost-sensitive approach with clinical domain knowledge integration by Gudi V. Chandra Sekhar, Chekol Alemu

“…Machine learning offers promising solutions for automated detection, but systematic algorithm comparison using clinically validated data remains limited. …”
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Research on Stacking Distribution of Steel Plates Input Based on Improved Multi-objective Particle Swarm Optimization by ZHONG Chuanjie, CHENG Wenming, DU Run, GAO Xuchao, ZHANG Lin

“…ObjectiveDifferent from the basic layout of traditional automated three-dimensional warehouses, steel plate goods are often stacked in the automated storage and retrieval system (AS/RS) rather than stored on high-rise shelves. …”
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Effects of generative artificial intelligence on cognitive effort and task performance: study protocol for a randomized controlled experiment among college students by Youjie Chen, Yingying Wang, Torsten Wüstenberg, Rene F. Kizilcec, Yiwen Fan, Yanfei Li, Bin Lu, Meng Yuan, Junlai Zhang, Ziyue Zhang, Pascal Geldsetzer, Simiao Chen, Till Bärnighausen

“…Conversely, others argue that generative AI holds the promise to augment human cognition by automating menial tasks and offering insights that extend one’s cognitive abilities. …”
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Artificial Intelligence–Enabled ECG Screening for LVSD in LBBB by Hak Seung Lee, MD, Sooyeon Lee, MD, Sora Kang, MS, Ga In Han, MS, Ah-Hyun Yoo, MS, Jong-Hwan Jang, PhD, Yong-Yeon Jo, PhD, Jeong Min Son, MD, Min Sung Lee, MD, MS, Joon-myoung Kwon, MD, MS, Kyung-Hee Kim, MD, PhD

“…Results: In external validation, the transfer learning model achieved the highest AUROC (0.903; 95% CI: 0.887-0.918), closely followed by the general model (0.899; 95% CI: 0.883-0.915); the difference was not significant. Models using automated or expert-based LBBB extraction had lower AUROCs (0.879 and 0.841, respectively). …”
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Pharmacogenetic Aspects of Postoperative Anesthesia with Ketoprofen in Cardiac Surgery Patients by T. E. Morozova, D. A. Shatsky, N. V. Shikh, E. V. Shikh, T. B. Andrushchyshina, M. V. Lukina, A. A. Kachanova, Z. A. Sozaeva, G. N. Shuev, N. P. Denisenko, E. А. Grishina, D. A. Sychev

“…DNA was isolated from venous blood using an automated system. Single nucleotide polymorphisms CYP2C8 (C>T) rs11572080, CYP2D6*4 (1846G>A) rs3892097 were determined by the real-time polymerase chain reaction method.Results. …”
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