Modern Slavery in the Gig Economy: Analysing the Exploitation of Gig and Freelance Workers through AI-Driven Communication Strategies and Automated Surveillance by Ioseb Gabelaia, Ramunė Bagočiūnaitė, Viktorija Navickienė

“…Besides, this encourages continuous monitoring and algorithmic control, which creates employee dissatisfaction and marginalization. …”
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Criteria for predicting the initiation of rolling contact fatigue damage in the railway wheels and rails by V. I. Sakalo, A. V. Sakalo

“…This work was supported by the Russian Foundation for Basic Research under Grant [17-01-00815A].…”
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Shot based keyframe extraction using edge-LBP approach by H.M. Nandini, H.K. Chethan, B.S. Rashmi

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COMPARISON OF THE METHOD OF ELECTROMETRIC DETERMINATION OF ROOT CANAL PARAMETERS AND THE METHOD OF THRESHOLD SEGMENTATION OF RADIOGRAPHS by Oleksii Perepelytsia, Oleg Avrunin

“…Radiological is the most promising for research because of its painlessness to the patient, low radiation dose during intraoral radiography and the possibility of using image processing algorithms to refine the measurement results. …”
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Approaches to Interstate Interaction of Circumpolar Countries in the Development of the Arctic by N. I. Didenko, D. F. Skripnuk, N. A. Konakhina

“…Purpose: is to suggest recommendations on the problems of cooperation of circumpolar countries in the Arctic based on the analysis and accumulates the existing economic concepts of interstate interaction.Methods: the work used the methods of classification, induction and deduction, generalization, structuring, statistical and logical analysis, system analysis, algorithmization. The research is based on the using the elements of empirical and theoretical methods for economic reality research.Results: the study presents the development of theoretical approaches to issues of interstate interaction in existing economic schools. …”
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Review on Key Technologies for Autonomous Navigation in Field Agricultural Machinery by Hongxuan Wu, Xinzhong Wang, Xuegeng Chen, Yafei Zhang, Yaowen Zhang

“…Future research is expected to focus on enhancing multi-modal perception under occlusion and variable lighting conditions, developing terrain-aware path planning algorithms that adapt to irregular field boundaries and elevation changes and designing robust control strategies that integrate model-based and learning-based approaches to manage disturbances and non-linearity. …”
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Comparative analysis of image mosaicing techniques for aerial agriculture field imaging by Maria John, S. Santhanalakshmi, J Amudha, Jianfeng Zhou

“…It uncovers and exposes the constraints that exist in existing algorithms. The dataset of maize crop acquired from Phantom drones in the farms of Centralia, Missouri, USA, is utilized for this work. …”
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Global influences of digital transformation on behavioral factors in tourism: a systematic literature review by Yuan Zhang, Árpád Papp-Váry, Zoltán Szabó

“…Using PRISMA-guided methodologies, we analyze 117 peer-reviewed studies (2019.12–2025.2) across global contexts to address five key research questions. Findings reveal: (1) Hybrid frameworks dominate digital adoption research but ignore emotional and cultural factors; (2) Integrating AI, AR, and blockchain boosts satisfaction but overwhelms users and raises privacy worries; (3) Cultural contingencies—collectivism, uncertainty avoidance, and power distance—significantly mediate risk perception and institutional trust in technology adoption; (4) Behavioral adaptation trajectories show generational divides in algorithmic reliance and transparency expectations; (5) Policy integration mechanisms, including government-led digital infrastructure, GDPR-aligned regulations, and public-private partnerships, strengthen destination resilience but remain contingent on regional capacity and cultural alignment. …”
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Reinforcement learning applications in water resource management: a systematic literature review by Linus Kåge, Vlatko Milić, Vlatko Milić, Maria Andersson, Magnus Wallén

“…The results show that RL agents are primarily trained in simulated environments rather than directly on historical data. Among the algorithms, deep Q-networks are the most commonly employed. …”
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A Data Decomposition and End-to-End Optimization-Based Monthly Carbon Emission Intensity of Electricity Forecasting Method by Yue Yan, Haoran Feng, Jinwei Song, Shixu Zhang, Shize Zhang, Qi He

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Enhancing Speed and Imperceptibility in Watermarking Systems by Leveraging Galois Field Tables by Yasmin Alaa Hassan, Abdul Monem S. Rahma

“…This research suggests a novel method for improving the speed and imperceptibility of watermarking systems that makes use of Galois Field (GF) tables. …”
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Art, community and AI: images for an affective memory by Jacob Bañuelos Capistrán, Diego Zavala Scherer, Nohemí Lugo Rodríguez

“…This research examines the potential of artificial intelligence (AI) image generation technologies for humanistic applications, specifically focusing on the creation, reconstruction, and reinvention of nonexistent visual archives through which communities can restore affective and identity-based memories. …”
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A comprehensive review of flood damage in mountainous regions: challenges, solutions, and advanced management technologies by Mohammad Roohi, Jila Dehghani, Maryam Irani, Paramiss Mina

“…Furthermore, a precise and useful understanding of the effects of floods in these areas has been made possible by the use of machine learning algorithms to forecast flood episodes and evaluate damage, in conjunction with field research and community participation, such as citizen science initiatives for data collection and local knowledge integration. …”
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On the Effectiveness of Vaccination against Infections Common to Humans and Animals, as Part of the Immunization Schedule for Epidemic Indications in the Russian Federation by N. M. Afonina, I. V. Mikheeva

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Optimising Insider Threat Prediction: Exploring BiLSTM Networks and Sequential Features by Phavithra Manoharan, Wei Hong, Jiao Yin, Hua Wang, Yanchun Zhang, Wenjie Ye

“…We analyse the performance of the four supervised learning algorithms on manual features, sequential features, and the ground truth of the day with different combinations. …”
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Investigation and Application of Water-Saving Monitoring Technology in Public Institutions by WANG Kang, ZHENG Yongjie, ZHANG Zhen, TANG Yanping, SONG Wenhao, GUO Xiaoming

“…Considering the characteristics of water use and the current situation of water facilities in public institutions,this study comprehensively employs the Internet of Things (IoT),cloud deployment,databases,three-dimensional (3D) visualization,and other advanced techniques to create a water-saving reconstruction scheme with integrated software and hardware for public institutions.Therefore,a smart water management platform for public institutions is built to implement advanced water-saving concepts and improve the water management level.The main research results are as follows:① By intelligent remote monitoring equipment,the multiclass water measurement network is designed to realize the fine collection of zonal water use data;② this study designs a reconstruction scheme of water facilities and explores the utilization mode of unconventional water sources to improve the utilization efficiency of water resources;③ multiple algorithms and statistical methods are used to analyze the time series of water use data,and thus this study realizes the analysis of pipeline network leakage and damage,identification of water use anomalies,and water-saving statistical analysis,and the investigation of water use laws;④ the platform with functions of monitoring and early warning is established to achieve real-time remote monitoring of water use,statistical analysis of historical water use,and identification and warning of pipe network leakage,so as to detect water anomalies in time and save water.The research results are first applied to the construction of the water-saving institution of the Pearl River Water Resources Commission to build a benchmark for the construction of water-saving institutions in the southern region.On the basis of application experience,the comprehensively integrated monitoring technology for water-saving in public institutions is developed,which provides a new idea for public institutions to save water.…”
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Data-driven bottleneck detection on Tehran highways by Hamid Mirzahossein, Pedram Nobakht, Iman Gholampour

“…The image processing approach involves color-based segmentation, pixel-level analysis, and machine learning algorithms to determine congestion levels across the highway network. …”
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The influence of Gen-AI tools application for text data augmentation: case of Lithuanian educational context data classification by Pavel Stefanovič, Urtė Radvilaitė, Birutė Pliuskuvienė, Simona Ramanauskaitė

“…All subsets were used to train several machine-learning algorithms. Additionally, the text has been processed into numerical data using two methods: bag-of-words and sBERT. …”
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Emerging technologies in finance: challenges for a sustainable finance by Dhouha Nefla, Sana Jellouli

“…To address these challenges, we propose a research agenda prioritizing ethical governance, stress-testing AI models under economic crises, securing decentralized systems, mitigating greenwashing risks, and fostering globally aligned regulatory standards. …”
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Semi-Supervised Learned Autoencoder for Classification of Events in Distributed Fibre Acoustic Sensors by Artem Kozmin, Oleg Kalashev, Alexey Chernenko, Alexey Redyuk

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