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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A Modified Column Generation to Solve the Heterogeneous Fixed Fleet Open Vehicle Routing Problem by Majid Yousefikhoshbakht, Azam Dolatnejad, Farzad Didehvar, Farhad Rahmati

“…The results which were compared to the results of exact algorithms and the classic CG confirm that the proposed algorithm produces high quality solutions within an acceptable computation time.…”
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On the Problem of Energy Balanced Relay Sensor Placement in Wireless Sensor Networks by Jie Jia, Guiyuan Zhang, Xueli Wu, Jian Chen, Xingwei Wang, Xiaolei Yan

“…Balanced energy depletion is an important way to prolong network lifetime for wireless sensor networks. Traditional algorithms mainly aim at maximizing network coverage rate with uniform sensor node distribution. …”
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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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Active Reflectors: Possible Solutions Based on Reflectarrays and Fresnel Reflectors by Lorena Cabria, José Ángel García, Julio Gutiérrez-Ríos, Antonio Tazón, Juan Vassal'lo

“…This simulator allows the study of performance of this kind of reflectors and, applying evolutionary algorithms, to find optimal configurations of reflector in accordance with the given specifications for the conformal radiation pattern.…”
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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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Application Research of Intelligent Classification Technology in Enterprise Data Classification and Gradation System by Lina Yu, Chunwei Wang, Huixian Chang, Sheng Shen, Fang Hou, Yingwei Li

“…At the same time, the differences, advantages, and disadvantages of K-NN (K-Nearest Neighbors), DT (Decision Tree), and LinearSVC algorithms are compared. The experimental data shows that LinearSVC algorithm is applicable to high-dimensional data, with discrete, sparse data features and large number of features, which is more suitable for classification of sensitive data of enterprises.…”
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Towards Supercomputing Categorizing the Maliciousness upon Cybersecurity Blacklists with Concept Drift by M. V. Carriegos, N. DeCastro-García, D. Escudero

“…Firstly, we have used the extreme gradient boosting model, and secondly, we have parallelized the machine learning algorithm to study the effect of using a different number of cores for the problem. …”
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Routing and scheduling optimization for urban air mobility fleet management using quantum annealing by Renichiro Haba, Takuya Mano, Ryosuke Ueda, Genichiro Ebe, Kohei Takeda, Masayoshi Terabe, Masayuki Ohzeki

“…Formulating route planning as a maximum weighted independent set problem enables us to utilize various algorithms and specialized optimization hardware, such as quantum annealers, which has seen substantial progress in recent years. …”
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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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A Novel Prediction Model for Car Body Vibration Acceleration Based on Correlation Analysis and Neural Networks by Shubin Zheng, Qianwen Zhong, Xiaodong Chai, Xingjie Chen, Lele Peng

“…Taking the selected parameters and previous car body vibration acceleration as the inputs, a prediction model for car body vibration acceleration was established based on several training algorithms and neural network structures. Then, the model was successfully applied to predict the car body vibration acceleration of test datasets on different segments of the same railway. …”
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A Fusion Approach of RSSI and LQI for Indoor Localization System Using Adaptive Smoothers by Sharly Joana Halder, Wooju Kim

“…The experimental results showed that the proposed mathematical method can reduce the average error around 25%, and it is always better than the other existing interference avoidance algorithms.…”
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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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SD‐SHO: Security‐dominated finite state machine state assignment technique with a satisfactory level of hardware optimization by Nitish Das, Aruna Priya Panchanathan

“…It is a deterministic algorithm and consists of two key techniques, such as state assignment using an improved quadratic sum code, and state assignment using a gradient‐based interior point method. …”
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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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Passive Initialization Method Based on Motion Characteristics for Monocular SLAM by Yu Yang, Jing Xiong, Xiaoyu She, Chang Liu, ChengWei Yang, Jie Li

“…However, current monocular SLAM algorithms cannot guarantee timeliness of system startup due to the problematic initialization time and the low success rates. …”
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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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State-of-Charge Estimation and Active Cell Pack Balancing Design of Lithium Battery Power System for Smart Electric Vehicle by Z. C. Gao, C. S. Chin, W. D. Toh, J. Chiew, J. Jia

“…The strong tracking cubature extended Kalman filter (STCEKF) gave an accurate SOC prediction compared to other Kalman-based filter algorithms. The proposed groupwise balancing of the multiple SOC exhibited a higher balancing speed and lower balancing loss than other cell balancing designs. …”
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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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