Deep Learning-Based Dzongkha Handwritten Digit Classification by Yonten Jamtsho, Pema Yangden, Sonam Wangmo, Nima Dema

“…With the advancement in deep learning technology, many machine learning algorithms were developed to tackle the problem of pattern recognition. …”
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AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK by LAWRENCE OMOTOSHO, IBRAHIM OGUNDOYIN, OLAJIDE ADEBAYO, JOSHUA OYENIYI

“…In multimodal biometrics system, the utilization of different algorithms for feature extraction, fusion at feature level and classification often to complexity and make fused biometrics features larger in dimensions. …”
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Green AI: Enhancing Sustainability and Energy Efficiency in AI-Integrated Enterprise Systems by Saumya Dash

“…The system employs advanced optimization algorithms aimed at minimizing energy usage during both AI training and inference, ensuring minimal impact on model accuracy. …”
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Improving the Machine Learning Stock Trading System: An N-Period Volatility Labeling and Instance Selection Technique by Young Hun Song, Myeongseok Park, Jaeyun Kim

“…Financial technology is crucial for the sustainable development of financial systems. Algorithmic trading, a key area in financial technology, involves automated trading based on predefined rules. …”
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A Framework for the Objective Assessment of Registration Accuracy by Francesca Pizzorni Ferrarese, Flavio Simonetti, Roberto Israel Foroni, Gloria Menegaz

“…Validation and accuracy assessment are the main bottlenecks preventing the adoption of image processing algorithms in the clinical practice. In the classical approach, a posteriori analysis is performed through objective metrics. …”
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Advanced Credit Card Fraud Detection: An Ensemble Learning Using Random Under Sampling and Two-Stage Thresholding by Ibrahim Almubark

“…We employed synthetic over-sampling and under-sampling techniques in certain machine learning algorithms to tackle the same issue. To address the issue of under sampling, we implemented ensemble random sampling, which was subsequently followed by Two-Stage Thresholding (TST) to eliminate outliers. …”
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Enhancing Privacy While Preserving Context in Text Transformations by Large Language Models by Tymon Lesław Żarski, Artur Janicki

“…Additionally, the proposed algorithms successfully preserved context in approximately 93.23% of test cases, indicating a promising solution for secure data handling in online environments.…”
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Cycle-based formulations in Distance Geometry by Liberti, Leo, Iommazzo, Gabriele, Lavor, Carlile, Maculan, Nelson

“…The problem is often modelled as a mathematical programming formulation involving decision variables that determine the position of the vertices in the given Euclidean space. Solution algorithms are generally constructed using local or global nonlinear optimization techniques. …”
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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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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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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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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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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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