State-of-the-art review on Automatic Vertical Drilling Tools: Addressing vibrational load challenges in oil and gas operations by Jialin Tian, Ameer Dheyaa

“…Frameworks for addressing these gaps are proposed, emphasizing the need for advanced computational techniques, including simulation-driven design, smart control algorithms, and innovative material applications. Recommendations for future research highlight strategies to extend tool life, improve drilling accuracy, and minimize environmental impact. …”
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Knowledge Graph Representation of Felder-Silverman Learning Style Model for Computing Education by Mubasher Yousuf, Syed Imran Jami, Shaukat Wasi, Muhammad Shoaib Siddiqui

“…This research focuses on adapting the Felder-Silverman Learning Style Model (FSLSM) questionnaire according to a specific computing course. …”
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Enhancing safety in surface mine blasting operations with IoT based ground vibration monitoring and prediction system integrated with machine learning by Mangalpady Aruna, Harsha Vardhan, Abhishek Kumar Tripathi, Satyajeet Parida, N. V. Raja Sekhar Reddy, Krishna Moorthy Sivalingam, Li Yingqiu, P. V. Elumalai

“…The study also employed Support Vector Regression (SVR), Gradient Boosting Regression (GBR), and Random Forest (RF) algorithms to predict Peak Particle Velocity (PPV) values. …”
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Detection of breast cancer using machine learning and explainable artificial intelligence by Tharunya Arravalli, Krishnaraj Chadaga, H Muralikrishna, Niranjana Sampathila, D. Cenitta, Rajagopala Chadaga, K. S. Swathi

“…Interpretable algorithms can be applied in the medical sector to assist practitioners in predicting breast cancer, reducing diagnostic errors, and improving clinical decision-making.…”
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Development and evaluation of machine learning training strategies for neonatal mortality prediction using multicountry data by Gabriel Ferreira dos Santos Silva, Roberta Moreira Wichmann, Francisco Costa da Silva Junior, Alexandre Dias Porto Chiavegatto Filho

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Cross-Technology Interference-Aware Rate Adaptation in Time-Triggered Wireless Local Area Networks by Hanjin Kim, Young-Jin Kim, Won-Tae Kim

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An explainable AI-based approach for predicting undergraduate students academic performance by Fatema Tuz Johora, Md Nahid Hasan, Aditya Rajbongshi, Md Ashrafuzzaman, Farzana Akter

“…The accurate prediction of students' academic achievement has garnered considerable attention in the research community due to its importance in understanding students' progress and assisting them in achieving success. …”
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Development of an Intelligent System for the Recommendation of the Most Suitable Routes for Pedestrians by M. H. Zali, M. Argany, M. A. Mostafavi, M. A. Mostafavi

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Speech emotion recognition using long-term average spectrum by Huerta-Hernández Luis David, Meléndez-Acosta Nayeli Joaquinita, Troncoso-Romero David Ernesto, Ramírez-Pacheco Julio César, León-Borges Jose Antonio

“…Automatic speech emotion recognition has become an important research subject in the area of speech signal processing. …”
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Length–Weight Distribution of Non-Zero Elements in Randomized Bit Sequences by Christoph Lange, Andreas Ahrens, Yadu Krishnan Krishnakumar, Olaf Grote

“…The results show that key-encapsulation and key-exchange algorithms, such as CRYSTALS-Kyber, achieve a lower level of randomness compared to digital signature algorithms, such as CRYSTALS-Dilithium.…”
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SiamCTCA: Cross-Temporal Correlation Aggregation Siamese Network for UAV Tracking by Qiaochu Wang, Faxue Liu, Bao Zhang, Jinghong Liu, Fang Xu, Yulong Wang

“…In aerial target-tracking research, complex scenarios place extremely high demands on the precision and robustness of tracking algorithms. …”
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Quantitative Analysis of Crack Propagation Behavior in Recycled Concrete Subjected to Axial Compression Using Digital Image Correlation (DIC) Technology and Fractal Theory by Cheng-Gong Lu, Xiu-Cheng Zhang, Wei-Zhi Chen, Xue-Fei Chen

“…The current research endeavors to explore the mechanical properties of recycled concrete cubic specimens, predominantly concentrating on macroscopic attributes such as compressive strength and splitting tensile strength. …”
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Predicting Pathologic Complete Response to Neoadjuvant Treatment in HER2-positive Breast Cancer using Interpretable Classification by Sergio Peñafiel, Esteban Ramírez, Nelson Baloian, Isabel Saffie, Paulo Luz, Inti Paredes

“…The performance of the model is compared with other classification algorithms, demonstrating its moderate but promising results. …”
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Fatigue Damage Prognosis Method for Main Girders of Cable-Stayed Bridges Based on Wavelet Neural Network by Shan Huang, Rui Chen, Jun Ling, Nan Jin

“…At present, the research on bridge structure health monitoring mainly focuses on discovering existing structural damage and less on predicting when the damage will occur in the future. …”
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Enhanced‐Resolution Learning‐Based Direction of Arrival Estimation by Programmable Metasurface by Nawel Meftah, Badreddine Ratni, Mohammed Nabil El Korso, Shah Nawaz Burokur

“…Abstract Due to its growing importance and wide range of applications, direction‐of‐arrival (DOA) estimation has become a major research topic, particularly in the field of communication systems. …”
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Scientists yet to consider spatial correlation in assessing uncertainty of spatial averages and totals by Alexandre M.J.-C. Wadoux, Gerard B.M. Heuvelink

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Synergistic use of handcrafted and deep learning features for tomato leaf disease classification by Mohamed Bouni, Badr Hssina, Khadija Douzi, Samira Douzi

“…Abstract This research introduces a Computer-Aided Diagnosis-system designed aimed at automated detections & classification of tomato leaf diseases, combining traditional handcrafted features with advanced deep learning techniques. …”
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Design and Motion Modeling of a Small-Scale Lunar Jumping Robot by YAN He, ZHU Xingyue, HOU Zhangli, WANG Weijun, ZHANG Zhinan

“…However, due to the limited research on the coupling between jumping robots and the lunar surface, applying jumping robots for lunar surface detection remains challenging. …”
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Dynamic analysis of malicious behavior propagation based on feature selection in software network by Huajian Xue, Huajian Xue, Yali Wang, Qiguang Tang

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Intelligent Sensor for Measurement Systems with Sinusoidal Excitation Response by U. A. Mikitsevich, A. I. Svistun, A. V. Samarina, K. U. Pantsialeyeu, A. L. Zharin

“…Measuring devices and systems containing sensors that require sinusoidal excitation are widely used in information and measurement technology both in production conditions and in research practice. Examples include various types of metal detectors, eddy current flaw detectors, analyzers of liquid media, electrometers with a dynamic capacitor, etc. …”
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