Ethical dimensions of artificial intelligence in graphic design: challenges, opportunities and the future of creative practice by Sandra Dedijer, Nemanja Kašiković, Magdolna Pál, Ivana Jurič, Živko Pavlović, Saša Petrović, Gala Golubović

“…AI enables faster and higher quality realization of creative concepts by automating repetitive tasks, generating complex and realistic visuals, and improving design personalization. However, the rapid development and implementation of AI in design practices also bring forth a series of challenges that must be critically examined. …”
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PENC: a predictive-estimative nonlinear control framework for robust target tracking of fixed-wing UAVs in complex urban environments by Shiji Hai, Xitai Na, Zhihui Feng, Jinshuo Shi, Qingbin Sun

“…This necessitates tracking algorithms capable of both target state estimation and prediction. …”
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Research of Regenerative Braking Strategy for Electric Vehicles by Van Nghia Le, Hoang Phuc Dam, Trong Hoan Nguyen, S. V. Kharitonchik, V. A. Kusyak

“…The carried out investigations confirm the available significant potential for improving the efficiency of the electric vehicles usage by developing the control strategy and algorithms of the braking energy regeneration.…”
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Real-Time Anomaly Detection in IoMT Networks Using Stacking Model and a Healthcare- Specific Dataset by Hadjer Goumidi, Samuel Pierre

“…The proposed model was evaluated on both the UNSW-NB15 and the new medical dataset, achieving significant improvements across key metrics such as accuracy, precision, recall, and F1-score. …”
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Defect Detection and 3D Reconstruction of Complex Urban Underground Pipeline Scenes for Sewer Robots by Ruihao Liu, Zhongxi Shao, Qiang Sun, Zhenzhong Yu

“…The Sewer-YOLO-Slim model achieves reductions of 60.2%, 60.0%, and 65.9% in model size, parameters, and floating-point operations (FLOPs), respectively, while improving the mean average precision (mAP) by 1.5%, reaching 93.5%. …”
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BRIDGING PROFESSIONAL IDENTITY AND DIGITAL PLATFORMS: A COMPREHENSIVE STUDY OF SELF-MARKETING AND CAREER DEVELOPMENT by Aram Qadir, Jacek Binda

“…This work's theoretical contribution lies in advancing knowledge of self-marketing as a personal marketing strategy, while its practical value is reflected in the findings' applicability for improving career positioning. This empirical investigation provides a foundation for further analysis with an expanded sample and the exploration of the algorithmic effects of digital platforms on content visibility. …”
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A Promising Methodological Approach to Identifying Areas with the Greatest Potential for the Development of the City Cycling Infrastructure by O. А. Grishina, A. I. Grishin, I. A. Stroganov

“…At the same time, the developed methodology suggests the possibility of further improvement, especially if it is used as a basic one in solving issues of CI planning and development.…”
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ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool by D. Di Santo, C. He, F. Chen, L. Giovannini

“…<p>The accurate calibration of parameters in atmospheric and Earth system models is crucial for improving their performance but remains a challenge due to their inherent complexity, which is reflected in input–output relationships often characterised by multiple interactions between the parameters, thus hindering the use of simple sensitivity analysis methods. …”
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Research Status and Progress of Acoustic Fire Extinguishing Technology by Xinyue Shi, Zhaojun Tian, Yi Lu, Qing Ye

“…Experimental results demonstrate that acoustic cavity focusing technology extends the effective fire suppression distance to 1.8 m while improving cooling efficiency by 10–20%. Integration with drone platforms and adaptive feedback systems enhances fire extinguishing energy efficiency by over 30%. …”
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Solving Linear Programming Problems by Reducing to the Form with an Obvious Answer by Gleb D. Stepanov

“…The method is obtained by improving the classical simplex method, which when involving geometric considerations, in fact, generalizes the Gauss complete exclusion method for solving systems of equations. …”
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Particle Swarm Optimization-Based Content Delivery Protocol for UAV VAENTs by Yongje Shin, Hyun-Seok Choi, Youngju Nam, Euisin Lee

“…Simulation results indicate that the proposed protocol solves the challenging issues in realistic VANET with significant improvement.…”
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Classification of the Condition of Cancer Patients Receiving Home Health Care with Machine Learning Methods by Mürsel Kahveci

“…This situation can also be constructed as an indicator in early diagnosis or risk group determination, and thus can contribute to improving home health services and increasing the quality of life of cancer patients. …”
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Exploring the roles of AI-powered e-tutors in enhancing self-directed learning in open distance e-learning courses by Mncedisi Christian Maphalala, Rachel Gugu Mkhasibe, Dumsani Wilfred Mncube

“…The paper also addresses the practical challenges and limitations of implementing AI-powered e-tutoring, such as technology access, data privacy, and the continuous improvement of AI algorithms. The study contributes to the expanding knowledge of AI in education, providing practical insights for academics, policymakers, and technology developers, equipping them with the necessary information to leverage AI to strengthen self-directed learning in ODeL environments. …”
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Transfer Learning based Image Classification of Diseased Tomato Leaves with Optimal Fine-Tuning combined with Heat Map Visualization by Sivakumar Palanıswamy, Vijayakumar Vaıthyam Rengarajan, Sandhya Devi Ramıah Subburaj

“…Geometrical data augmentation is used as a regularization technique to expand the size of the dataset. Significant improvement in the performance metrics is observed when the finetuning is optimum. …”
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Application of deep learning in malware detection: a review by Yafei Song, Dandan Zhang, Jian Wang, Yanan Wang, Yang Wang, Peng Ding

“…Among these, the most common problem is the lack of broader and consistent datasets, followed by the need for existing models for further improvement.…”
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GIS-based framework for assessing priority locations for blue-green infrastructure implementation in urban areas by Ewelina Pochodyła-Ducka, Paweł Burandt, Katarzyna Glińska-Lewczuk

“…Our research indicates that strategic BGI placement can markedly aid in stormwater management, biodiversity enhancement, and the overall improvement of urban life quality. This study emphasizes the critical role of sustainable urban planning in mitigating the impacts of climate change and ongoing urbanization.…”
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Crop yield prediction in agriculture: A comprehensive review of machine learning and deep learning approaches, with insights for future research and sustainability by Md. Abu Jabed, Masrah Azrifah Azmi Murad

“…The findings of this study shed light on the transformative potential of advanced AI techniques in improving crop yield estimation accuracy, ultimately enhancing agricultural planning and resource management. …”
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Neurotechnological Approaches to Cognitive Rehabilitation in Mild Cognitive Impairment: A Systematic Review of Neuromodulation, EEG, Virtual Reality, and Emerging AI Applications by Evgenia Gkintoni, Stephanos P. Vassilopoulos, Georgios Nikolaou, Apostolos Vantarakis

“…Physical exercise interventions yielded improvements through multiple neurobiological pathways. …”
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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

“…Results: Indeed, the findings showed that the multimodal approaches were practical, especially the combinations involving EEG with physiological signals, thus improving the accuracy of classification, even surpassing 90% in some studies. …”
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MYB Proto-Oncogene Like 2 identified as a biomarker for uterine corpus endometrial carcinoma: evidence from bioinformatics and clinical validation by Jiaoyun Lu, Furong Luo

“…The identification of novel prognostic biomarkers and therapeutic targets is crucial for improving patient outcomes. This study aimed to investigate the multifaceted roles of MYB Proto-Oncogene Like 2 (MYBL2) in uterine corpus endometrial carcinoma (UCEC).MethodsWe employed multiple bioinformatics algorithms (GEPIA, TCGA, TIMER2.0) to analyze MYBL2 expression across different cancer types and in UCEC specifically. …”
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