Sensor and Dynamic Pricing Aware Vertical Transportation in Smart Buildings by Hyunkyoung Choi, Kyungwoon Cho, Hyokyung Bahn

“…As this is a complex optimization problem, we use an evolutionary computation technique based on genetic algorithms (GA). We inject a learning module into the control unit of ECS, which monitors the change of the electricity price and the passengers’ traffic detected by sensors. …”
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A High-Performance Lossless Compression Scheme for EEG Signals Using Wavelet Transform and Neural Network Predictors by N. Sriraam

“…Developments of new classes of efficient compression algorithms, software systems, and hardware for data intensive applications in today's digital health care systems provide timely and meaningful solutions in response to exponentially growing patient information data complexity and associated analysis requirements. …”
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Research on Stability of Explicit Runge-Kutta Method for Solving Constantly Gradually Varied Flow in Open Trough by ZHOU Bin

“…Explicit Runge-Kutta method is one of the commonly used algorithms to solve the differential equation of constantly gradually varied flow in open channel, which has been studied and popularized by some domestic scholars in recent years. …”
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Autonomous Energy Management Strategy in the Intermediate Circuit of an Electric Hybrid Drive with a Supercapacitor by Milan Vacarda

“…The strategy does not even require knowledge of the driving profile and bypasses complicated optimization algorithms. When validating the EMS method on an experimental test bench by implementing the driving cycle into real prototype components of the HEV physical model, a recovery rate of 14% was achieved, but the potential is up to twice that.…”
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The system of control chemical and radioactive pollution of marine environment parameters in the location areas of potentially hazardous underwater objects by A.I. Vyalyshev, F.K. Tuzov, V.V. Stoyanov, A.A. Dolgov, D.V. Poltoranov

“…There are two options for installing the system with different operating algorithms, including periodic transmission of information upon request. …”
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Multiscale Image Registration by Dana Paquin, Doron Levy, Eduard Schreibmann, Lei Xing

“…Further experiments in which classical denoising algorithms are applied prior to registration are presented, and it is shown that registration fails in this case for significantly high levels of noise, as well. …”
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Hourly Forecasting of Solar Photovoltaic Power in Pakistan Using Recurrent Neural Networks by Sohrab Khan, Faheemullah Shaikh, Mokhi Maan Siddiqui, Tanweer Hussain, Laveet Kumar, Afroza Nahar

“…Moreover, the impact of different environmental conditions for all of the algorithms is investigated. Hourly solar PV power forecasting is done to confirm the effectiveness of various models. …”
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Mobility-assisted big data collecting in wireless sensor networks by Jinghua Zhu, Xuming Yin, Jingsi Bai, Yake Wang

“…Two heuristic routes planning algorithms are presented to build a set of trajectories which satisfy the deadline constraint and have the minimum overall movement cost. …”
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Digital Identities in The Context of Blockchain and Artificial Intelligence by Sevgi Kavut

“…In case artificial intelligence contributes development of digital identity with face recognition systems and algorithms. Moreover, digital identity got more secure thanks to blockchain systems while digital identities is defined more quickly and easily by means of developed technologies with artificial intelligence…”
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A Performance Comparison of Centralized and Distributed Spectrum Management Techniques in Elastic Optical Networks by Tushar Mathur, Gokhan Sahin, Donald R. Ucci

“…These signaling techniques are used with the First Fit (FF) and Random Fit (RF) Routing and Spectrum Allocation (RSA) algorithms. The paper discusses control elements (central and distributed architectures) decisions under busy hour and normal network conditions and presents a comprehensive performance analysis of key performance metrics such as connection success rate, connection establishment time, and capacity requirement.…”
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External Fractional-Order Gradient Vector Perona-Malik Diffusion for Sinogram Restoration of Low-Dosed X-Ray Computed Tomography by Shaoxiang Hu

“…Existing fractional-order Perona-Malik Diffusion (FOPMD) algorithms are defined as fully spatial fractional-order derivatives (FSFODs). …”
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Non-Terrestrial Network Based Positioning Technologies for Direct-to-Satellite Service by SUN Xiaonan, ZHOU Shidong, KANG Shaoli

“…Compared to single-satellite positioning, multi-satellite positioning offers advantages such as faster convergence, improved geometric configurations and higher accuracy.This paper delves into the research of positioning technologies for Direct-to-Satellite Service (D2SS) within the 5G NTN framework, proposing various multi-satellite positioning algorithms, analyzing the critical factors influencing positioning performance, and conducting simulation assessments of positioning performance.…”
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Signal theory based encryption of faster-than-Nyquist signals for fiber and wireless transmission by Abhinand Venugopalan, Karanveer Singh, Janosch Meier, Thomas Schneider

“…Various encryption schemes, based on mathematical algorithms, quantum theory, chaos communication or spectral spreading below the noise level have been explored. …”
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Property Optimisation of EPDM Rubber Composites Using Mathematical and Statistical Strategies by Sivaldo Leite Correia, Denilso Palaoro, Ana Maria Segadães

“…The results demonstrate that statistical design of experiments and particle swarm optimisation (PSO) algorithms are promising methods to design composition variables. …”
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Enhancing rice seed purity recognition accuracy based on optimal feature selection by Thi-Thu-Hong Phan, Le Huu Bao Nguyen

“…Through rigorous experimentation with eight machine learning algorithms, we find that using Random Forest for feature selection, in combination with the SVM classifier, yields the best performance. …”
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Utilizing Feature Selection Techniques for AI-Driven Tumor Subtype Classification: Enhancing Precision in Cancer Diagnostics by Jihan Wang, Zhengxiang Zhang, Yangyang Wang

“…The integration of multi-omics data and ML algorithms facilitates a more comprehensive understanding of tumor heterogeneity, advancing both diagnostics and personalized therapies. …”
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Brain Tumor Detection Using a Deep CNN Model by Sonia Ben Brahim, Samia Dardouri, Ridha Bouallegue

“…The application of these algorithms offers several benefits, including rapid brain tumor prediction, reduced errors, and enhanced precision. …”
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Localizing multiple radiation sources actively with a particle filter by Tomas Lazna, Ludek Zalud

“…The performance of the algorithms was tested in a simulation study based on real-world data acquired previously from three radiation sources exhibiting various activities. …”
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Link Quality Prediction via a Neighborhood-Based Nonnegative Matrix Factorization Model for Wireless Sensor Networks by Yuxin Zhao, Shenghong Li, Jia Hou

“…Traditional link quality prediction algorithms are simply based on the statistical information of the links in the wireless sensor network. …”
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For Loan Processing a Fuzzy Process Mining by İbrahim Ethem Yazıcı, Orhan Engin

“…Visualizations of the process have been affected with the help of fuzzy model algorithms necessary for a huge number of incidents and activities. …”
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