Gorilla Troops Optimizer Combined with ANFIS for Wire Cut EDM of Aluminum Alloy by Elango Natarajan, V. Kaviarasan, Wei Hong Lim, S. Ramesh, K. Palanikumar, T. Sekar, V. H. Mok

“…Wilcoxon signed rank test was conducted for the pairwise comparison of GTO with each of its competing algorithms at the significance level of σ = 0.05. Friedman test was conducted to calculate the average ranking of each algorithm and to detect the global differences between all compared algorithms. …”
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A Smart Machine Learning Model for the Detection of Brain Hemorrhage Diagnosis Based Internet of Things in Smart Cities by Hang Chen, Sulaiman Khan, Bo Kou, Shah Nazir, Wei Liu, Anwar Hussain

“…To reduce the death rates and propose accurate treatment, this paper presents a smart IoT-based application using machine learning algorithms for the human brain hemorrhage diagnosis. …”
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Efficient Handling of Data Imbalance in Health Insurance Fraud Detection Using Meta-Reinforcement Learning by Supriya Seshagiri, K. V. Prema

“…By using task distribution and reward shaping, our experiments on Meta-RL algorithms, RL², and VariBAD achieve superior sample efficiency and adaptability for varying degrees of imbalance. …”
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A Dynamic Probabilistic Based Broadcasting Scheme for MANETs by Kannan Shanmugam, Karthik Subburathinam, Arunachalam Velayuthampalayam Palanisamy

“…A reasonable number of routing algorithms have been suggested for reducing the lethal impact of flooding the RREQ packets. …”
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New Benchmarking Methodology and Programming Model for Big Data Processing by Anton Kos, Sašo Tomažič, Jakob Salom, Nemanja Trifunovic, Mateo Valero, Veljko Milutinovic

“…In our view, the next step of data flow computing development should be a move from specialized to more general algorithms and applications.…”
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Design of Incremental Conductance Sliding Mode MPPT Control Applied by Integrated Photovoltaic and Proton Exchange Membrane Fuel Cell System under Various Operating Conditions for... by Jehun Hahm, Hyoseok Kang, Jaeho Baek, Heejin Lee, Mignon Park

“…The proposed scheme is based on the incremental conductance (IncCond) algorithm combined with the sliding mode technique. …”
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Synthetic data as external control arms in scarce single-arm clinical trials. by Severin Elvatun, Daan Knoors, Simon Brant, Christian Jonasson, Jan F Nygård

“…Moreover, the generator algorithms demonstrate the ability to generate synthetic data of high utility without compromising the confidentiality of the empirical data. …”
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High-Performance Multi-Object Tracking for Autonomous Driving in Urban Scenarios With Heterogeneous Embedded Boards by Alessio Medaglini, Biagio Peccerillo, Sandro Bartolini

“…In this paper, we address the issues behind high-performance Multi-Object Tracking (MOT) algorithms for a real-world urban transportation scenario. …”
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Mathematical Model and Characteristics of the Induction Motor with a Power Supply from a Current Source by V. S. Malyar, A. V. Malyar

“…The specific features of the algorithms for calculating transients, steady-state modes and static characteristics are discussed. …”
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From Data to Decisions: The Power of Machine Learning in Business Recommendations by Kapilya Gangadharan, Anoop Purandaran, K. Malathi, Barathi Subramanian, Rathinaraja Jeyaraj, Soon Ki Jung

“…Methodologically, the study delves into the role of ML in crafting and refining these systems, focusing on aspects such as data sourcing, feature engineering, and the importance of evaluation metrics, thereby highlighting the iterative nature of enhancing recommendation algorithms. The deployment of recommendation engines (RE), driven by advanced algorithms and data analytics, is explored across various domains, showcasing their significant impact on user experience and decision-making processes. …”
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Load recognition method based on convolutional neural network and attention mechanism by ZHAO Yitao, LI Zhao, LIU Xinglong, LUO Zhao, WANG Gang, SHEN Xin

“…Aiming at the problems of poor recognition performance of traditional algorithms and difficulty in adapting to the current complex electricity environment, a NILM load recognition method integrating convolutional neural network (CNN)-self-attention mechanism is proposed from the optimization idea of enhancing the feature extraction performance of classification algorithms. …”
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An Enhanced Deep Neural Network for Predicting Workplace Absenteeism by Syed Atif Ali Shah, Irfan Uddin, Furqan Aziz, Shafiq Ahmad, Mahmoud Ahmad Al-Khasawneh, Mohamed Sharaf

“…In this paper, we propose Neural Networks and Deep Learning algorithms that can predict the behavior of employees towards punctuality at workplace. …”
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Quaternion modeling of the helical path for analysis of the shape of the DNA molecule by A. F. Muterko

“…Taken together, these algorithms will be useful both in the in silico analysis of relatively short DNA fragments as well as in topological mapping of whole genomes.…”
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A New Method for Fault Detection and Location in a Low-Resistance Grounded Power Distribution Network Using Voltage Phasor of D-PMUs Data by Masoud Najafzadeh, Jaber Pouladi, Ali Daghigh, Jamal Beiza, Sima Shahmohamadi

“…In order to show the effectiveness of the proposed algorithms, a 9-bus system is defined by MATLAB software and also defining different line lengths and line characteristics in different buses. …”
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Development of Engineering Models of Nanosatellites for Student Training by V. Е. Evchik, A. A. Spiridonov, D. V. Ushakov, V. S. Baranova, I. A. Shalatonin, V. A. Saechnikov

“…The developed complexes make it possible to carry out term papers, theses, and master’s works related to the design of hardware and software for nanosatellites and a ground station, the setting up of space experiments, the development of new algorithms and a flight program for ultra-small satellites.…”
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Comparison of In Silico Tools for Splice-Altering Variant Prediction Using Established Spliceogenic Variants: An End-User’s Point of View by Woori Jang, Joonhong Park, Hyojin Chae, Myungshin Kim

“…This suggests that deep learning algorithms outperform traditional probabilistic approaches and classical machine learning tools in predicting the de novo and cryptic splice sites.…”
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A Comprehensive Analysis of Supervised Learning Techniques for Electricity Theft Detection by Farah Aqilah Bohani, Azizah Suliman, Mulyana Saripuddin, Sera Syarmila Sameon, Nur Shakirah Md Salleh, Surizal Nazeri

“…There are many methods or algorithms applicable for detecting electricity theft. …”
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User Preference-Based Heterogeneous Network Management System for Vertical Handover by Samuel Ndegwa, Kumbirayi Nyachionjeka, Edwell T. Mharakurwa

“…The results proved the algorithm’s effectiveness compared to some of the earlier proposed vertical handover algorithms. …”
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Spatial Estimation of Trophic State for Reservoir Using Ground Monitoring and Remote Sensing Data by Thong Nguyen Hoang, Van Tran Thi

“…The results of correlation analysis between ground monitoring values and spectral values from remote sensing algorithms showed that the two parameters, SD and TP, correlated best with the NIR/BLUE algorithm. …”
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A Review of Reinforcement Learning for Fixed-Wing Aircraft Control Tasks by David J. Richter, Ricardo A. Calix, Kyungbaek Kim

“…A lot of that can be attributed to the recent advancements in machine learning (ML) and deep learning (DL) as a whole, the power of deep neural networks and the incorporation of them into reinforcement learning algorithms and techniques. This marriage of deep neural networks and traditional reinforcement learning methods has enabled reinforcement learning algorithms to achieve incredible results in use-cases that were previously deemed to be too complex. …”
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