Benchmarking Vision-Based Object Tracking for USVs in Complex Maritime Environments by Muhayy Ud Din, Ahsan Baidar Bakht, Waseem Akram, Yihao Dong, Lakmal Seneviratne, Irfan Hussain

“…In addition, we evaluated the robustness of various control algorithms in conjunction with these tracking systems. …”
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Machine Learning and Artificial Intelligence Systems Based on the Optical Spectral Analysis in Neuro-Oncology by Tatiana Savelieva, Igor Romanishkin, Anuar Ospanov, Sergey Goryaynov, Galina Pavlova, Igor Pronin, Victor Loschenov

“…This paper reviews recent studies which apply machine learning algorithms to optical spectroscopy data from central nervous system (CNS) tumors, both ex vivo and in vivo. …”
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Long-time error-mitigating simulation of open quantum systems on near term quantum computers by Brian Rost, Lorenzo Del Re, Nathan Earnest, Alexander F. Kemper, Barbara Jones, James K. Freericks

“…Our results demonstrate that algorithms for simulating open quantum systems are able to far outperform similarly complex non-dissipative algorithms on noisy hardware. …”
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Evolutionary Optimization of Electric Power Distribution Using the Dandelion Code by Jorge Sabattin, Carlos Contreras Bolton, Miguel Arias, Víctor Parada

“…In this paper, we study this problem using genetic algorithms. With the help of a coding scheme based on the dandelion code, these genetic algorithms allow larger instances of the problem to be solved. …”
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Nephelometer Sensitivities for the Determination of PM2.5 Mass Concentration in Ambient and Indoor Air by Dimitra Karali, Glykeria Loupa, Spyridon Rapsomanikis

“…Abstract Simple algorithms are presented for the relationships between the gravimetrically measured PM2.5 mass concentration and a nephelometer particle scattering coefficient, for three different environments: two outdoor locations (an urban and a suburban) and one indoors. …”
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A Review of Touching-Based Underwater Robotic Perception and Manipulation by Jia Sun, Qifeng Zhang, Yu Lu, Bingding Huang, Qiang Li

“…Additionally, we explore the development of force control algorithms for underwater manipulators and grippers, emphasizing their critical role in underwater environments. …”
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LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers by Durmus Ozkan Sahin, Sedat Akleylek, Erdal Kilic

“…As a result, remarkable performances are obtained with classification algorithms based on linear regression models without the need for very complex classification algorithms.…”
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Graph Coarsening Approach to the Vehicle Routing Problem: An Approximation Strategy by Katarzyna Nalecz-Charkiewicz, Arnav Das, Turbasu Chatterjee, Joshua Keene, Pawel Gora, Carlos C. N. Kuhn

“…When using the proposed method with hybrid algorithms, we have demonstrated an improvement of approximately 50% in the solution found by the hybrid solver. …”
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Robust Spectrum Sensing Demonstration Using a Low-Cost Front-End Receiver by Daniele Borio, Emanuele Angiuli, Raimondo Giuliani, Gianmarco Baldini

“…Spectrum Sensing (SS) is an important function in Cognitive Radio (CR) to detect primary users. The design of SS algorithms is one of the most challenging tasks in CR and requires innovative hardware and software solutions to enhance detection probability and minimize low false alarm probability. …”
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The Interaction of Iteration Error and Stability for Linear Partial Differential Equations Coupled through an Interface by B. Sheehan, D. Estep, S. Tavener, J. Cary, S. Kruger, A. Hakim, A. Pletzer, J. Carlsson, S. Vadlamani

“…The algorithms considered are based on the widely used approach of iteratively exchanging boundary condition data on the shared boundary at each time step. …”
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Real-time predication and navigation on traffic congestion model with equilibrium Markov chain by Yan Zheng, Yanran Li, Chung-Ming Own, Zhaopeng Meng, Mengya Gao

“…With the explosive growth of vehicles on the road, traffic congestion has become an inevitable problem when applying guidance algorithms to transportation networks in a busy and crowded city. …”
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A Study on the Application of Explainable AI on Ensemble Models for Predictive Analysis of Chronic Kidney Disease by K. M. Tawsik Jawad, Anusha Verma, Fathi Amsaad, Lamia Ashraf

“…Also, we have implemented the Explainable AI (XAI) algorithms to interpret the decision-making process of the ensemble models in terms of dominating features and the feature values. …”
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NUMERICAL METHODS OF SOLUTION OF BOUNDARY-VALUE PROBLEM FOR DIFFERENTIAL-ALGEBRAIC EQUATIONS OF THE SECOND ORDER by Mikhail Valeryanovich Buiaun, Nicolai Petrovich Rakhvalov, Tạ Duy Phượng

“…We give conditions under which the algorithms are stable and converge to the exact solution of the original problem. …”
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BIOMETRIC ACCESS CONTROL SYSTEMS BASED ON FINGERPRINTS by V. V. Starovoitov

“…Features of biometric access control system design for control people's access to certain facilitiesare described. Basic algorithms for fingerprint processing and analysis are given in details. …”
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Artificial intelligence for chest X-ray image enhancement by Liming Song, Hongfei Sun, Haonan Xiao, Sai Kit Lam, Yuefu Zhan, Ge Ren, Jing Cai

“…Recently, the successful application of deep learning (DL) algorithms in medical image analysis has prompted researchers to propose and design DL-based CXR image enhancement algorithms. …”
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Research Progress in Methods to Estimate High-resolution Direction of Arrival by Wei ZHAO, Xuan LI, Chengpeng HAO

“…This paper first summarizes the traditional algorithms based on beamforming for narrowband target direction estimation relying on uniform linear arrays and emerging algorithms in the past decade. …”
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Improving Diabetes Prediction Accuracy in Indonesia: A Comparative Analysis of SVM, Logistic Regression, and Naive Bayes with SMOTE and ADASYN by Selly Rahmawati, Arief Wibowo, Anis Fitri Nur Masruriyah

“…This study aims to enhance the accuracy of diabetes prediction models in Indonesia by comparing the performance of Support Vector Machines (SVM), Logistic Regression, and Naïve Bayes algorithms, both with and without synthetic oversampling techniques such as SMOTE and ADASYN. …”
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A critical approach to clustering precipitation series in the Dobrogea region, Romania by Saliba Youssef, Barbulescu Alina, Dumitriu Cristian Ștefan

“…This study provides a detailed framework for applying clustering algorithms to analyze precipitation data from the Dobrogea region in Romania, covering 46 meteorological stations from 1965 to 2005. …”
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Discrimination between the facial gestures of vocalising and non-vocalising lemurs and small apes using deep learning by Filippo Carugati, Olivier Friard, Elisa Protopapa, Camilla Mancassola, Emanuela Rabajoli, Chiara De Gregorio, Daria Valente, Valeria Ferrario, Walter Cristiano, Teresa Raimondi, Valeria Torti, Brice Lefaux, Longondraza Miaretsoa, Cristina Giacoma, Marco Gamba

“…The algorithms showed higher-than-chance correct classification rates, with some exceeding 90 %. …”
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A Framework for the Generation of Monitor and Plant Model From Event Logs Using Process Mining for Formal Verification of Event-Driven Systems by Midhun Xavier, Victor Dubinin, Sandeep Patil, Valeriy Vyatkin

“…Process discovery algorithms are then applied to extract the logic of the process behavior properties from the recorded event logs. …”
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