Artificial intelligence in soil science: Where do we go now? by Jose Pablo Castro, Caley K. Gasch, Paulo Flores

“…Abstract Recognizing the fast advancement of artificial intelligence (AI) in soil science, the main objective of this commentary paper is to discuss how this technology is being incorporated into the discipline, focusing on the most common algorithms and their applications. …”
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YOLO-SAR: An Enhanced Multi-Scale Ship Detection Method in Low-Light Environments by Zihang Xiong, Mei Wang, Ruixiang Kan, Jiayu Zhang

“…In low-illumination scenes, traditional ship detection algorithms often struggle due to poor visibility and blurred details in RGB video streams. …”
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Drone Landing and Reinforcement Learning: State-of-Art, Challenges and Opportunities by Jose Amendola, Linga Reddy Cenkeramaddi, Ajit Jha

“…It also revisits Reinforcement Learning Algorithms, the main frameworks and simulators adopted for specific landing operations. …”
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The principles of oncological alertness at the outpatient therapeutic stage by A. S. Sycheva, A. L. Kebina, A. V. Nosova, A. L. Vertkin

“…In such a situation, the main task of the therapist and general practitioner is to identify suspicious symptoms of malignant neoplasms using an algorithmized approach and refer the patient to a specialized institution.…”
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Artificial intelligence, generative artificial intelligence and research integrity: a hybrid systemic review by Khalid H. Arar, Hamit Özen, Gülşah Polat, Selahattin Turan

“…Abstract Current advances in academic research stem from two main sources: artificial intelligence technologies and the specific field of generative artificial intelligence. …”
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Socioeconomic and Cultural Determinants of the Development of Artificial Intelligence by Sorin Paul Lazăr, Iustin Atanasiu Pop, Maria Mortan

“…This technology is evaluated both globally and in terms of its components: qualified users, technical capabilities, regulations, societal support, academic support, algorithms and platforms, support from public authorities, and private economic initiatives. …”
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Routing Protocols for Vehicular Delay Tolerant Networks: A Survey by Hyunwoo Kang, Syed Hassan Ahmed, Dongkyun Kim, Yun-Su Chung

“…However, the choice of routing algorithms in VDTNs is still under study. The main objective of routing protocols in VDTNs is to maximize the probability of delivery at the destination while minimizing the end-to-end delay. …”
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The Improvement of Energy Harvesting Efficiency of Constant Current Source by Martynyuk V.V., Kosenkov V.D., Fedula M.V.

“…The presented approach allows developing the maximum power point tracking algorithms based on the estimation of the equivalent current source parameters that provide improvement of the energy harvesting efficiency.…”
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Predictive Analytics in Finance Using the Arima Model. Application for Bucharest Stock Exchange Financial Companies Closing Prices by Spulbar Cristi, Ene Cezar Cătălin

“…Stock markets can be volatile, thus accurate predictions can greatly help investors and stakeholders to make wise financial choices. The main goal of this paper is to test how well the Autoregressive Integrated Moving Average (ARIMA) model can capture and predict changes in closing prices. …”
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The role of neurovisualization in monitoring stroke risk among athletes: a review by Bauyrzhan Omarov, Akbayan Aliyeva

“…Discussion: the findings were consistent with previous studies that supported the use of multimodal imaging and computational tools in stroke risk evaluation. however, data heterogeneity and algorithmic transparency were identified as persistent challenges across the reviewed literature. …”
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Neutrosophic Fuzzy Power Management (NFPM): Tackling Uncertainty in Energy Harvesting for Sensor Networks by Musallam M. AlZubi, Mohamed A. Mohamed, Hanan M. Amer, A. A. Salama

“…This paper presents a novel approach known as Neutrosophic Fuzzy Power Management (NFPM) aimed at addressing the critical challenge of uncertain energy availability in Energy Harvesting Sensor Networks (EHWSNs). The main objective of this research is to enhance the management of energy resources within these networks, which traditional fuzzy logic methods often fail to do, leading to power failures and reduced reliability. …”
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An Autonomic Nervous System Model Applied to the Analysis of Orthostatic Tests by Virginie Le Rolle, Alfredo I. Hernández, Pierre-Yves Richard, Guy Carrault

“…The proposed approach is able to reproduce the main components of the observed heart rate signals and represents a first step toward a model-based interpretation of these signals.…”
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Hierarchical Clustering as a Dimension Reduction Technique for Markowitz Portfolio Optimization by Anatoliy Y. Poletaev, Elena M. Spiridonova

“…Clustering is widely used in computer science, a lot of algorithms and computational methods have been developed for it. …”
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Computer-Aided System for Designing the Thermal Energy Metering Devices by Fedir Matiko, Oksana Byts, Leonid Lesovoy, Halyna Matiko

“…The main characteristics of subsystem for entering and validating the input data are presented. …”
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A Survey of Dental Caries Segmentation and Detection Techniques by Vincent Majanga, Serestina Viriri

“…From the works reviewed, the main focus has been found to be on threshold-based segmentation methods. …”
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Advancing pancreatic cancer management: the role of artificial intelligence in diagnosis and therapy by Dilber Uzun Ozsahin, Natacha Usanase, Ilker Ozsahin

“…Simultaneously, AI algorithms may also be used to forecast the duration of survival, the likelihood of recurrence, the cancer metastasis, and the response to treatment, all of which can impact the prognosis. …”
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Sewer Cleaning Robot: A Visually Assisted Cleaning Robot for Sewers by Bo Xiong, Lei Zhang, Zhaoyang Cai

“…This paper provides technical reserves for replacing human labor that use vision algorithms to assist in cleaning tasks within sewers.…”
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Intelligent regulation for cryptocurrency anti-money laundering: models, methods, and applications by ZHANG Yifei, YUAN Yong, YANG Dong, WANG Fei-Yue

“…Meanwhile, commonly used datasets in cryptocurrency AML research were compiled, and a performance comparison of existing models and algorithms was provided based on the Elliptic dataset. …”
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Making JavaScript Render Decisions to Optimize Security-Oriented Crawler Process by Onur Aktas, Ahmet Burak Can

“…This approach seeks to reduce computational requirements and quicken the security evaluation process through the use of machine learning algorithms. By utilizing a dataset containing the source code from the main pages of 17,160 websites, our experimental results demonstrate a 20% reduction in execution time compared to full JavaScript rendering, indicating an improvement in resource usage without any significant reduction in coverage. …”
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Leveraging AI-Generated Virtual Speakers to Enhance Multilingual E-Learning Experiences by Sergio Miranda, Rosa Vegliante

“…Future research should focus on addressing ethical considerations, such as data privacy and algorithmic bias, and expanding the user base to include more languages and proficiency levels.…”
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