IMPROVEMENT OF PASSENGER SERVICE PROCESSES OF DEPARTING FLIGHT BASED ON PROJECT MANAGEMENT METHODS by S. A. Kropiventseva

“…The article considers the formalization of the service technology of departing passengers into network model, which is a good basis for improving the service technology, monitoring the performance that determines the process duration and service optimization in cost and resources. …”
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Improving Local Fidelity and Interpretability of LIME by Replacing Only the Sampling Process With CVAE by Daisuke Yasui, Hiroshi Sato

“…The Local Interpretable Model agnostic Explanation (LIME) algorithm is an Explainable AI (XAI) method that can be applied to many black -box models. …”
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Exponential Improvements in the Simulation of Lattice Gauge Theories Using Near-Optimal Techniques by Mason L. Rhodes, Michael Kreshchuk, Shivesh Pathak

“…We find a reduction of up to 25 orders of magnitude in space-time volume over Trotter methods for simulations of non-Abelian lattice gauge theories relevant to the standard model. This improvement results from our algorithm having polynomial scaling with the number of colors in the gauge theory, achieved by utilizing oracle constructions relying on the sparsity of physical operators, in contrast to the exponential scaling seen in state-of-the-art Trotter methods, which employ explicit mappings onto Pauli operators. …”
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Experiments on Improving Temperature and Humidity Profile Retrieval for Ground-based Microwave Radiometer by Zhang Xuefen, Wang Zhicheng, Mao Jiajia, Wang Zhangwei, Zhang Dongming, Tao Fa

“…The network model combined with cloud radar information has obviously better effects on the retrieval result under cloudy samples.Through these experiments, the quality control of brightness temperature, combination of active and passive retrieval algorithms are well improved. …”
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Synergizing neural networks with multi-objective thermal exchange optimization and PROMETHEE decision-making to improve PCM-based photovoltaic thermal systems by Yongxin Li, Ali Basem, As'ad Alizadeh, Pradeep Kumar Singh, Saurav Dixit, Hanaa Kadhim Abdulaali, Rifaqat Ali, Pancham Cajla, Husam Rajab, Kaouther Ghachem

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Intelligent City 3D Modeling Model Based on Multisource Data Point Cloud Algorithm by Youping Wu, Zhihui Zhou

“…In this paper, based on the study of current mainstream 3D model data organization methods, geographic grids and map service specifications, and other related technologies, an intelligent urban 3D modeling model based on multisource data point cloud algorithm is designed for the two problems of unified organization and expression of urban multisource 3D model data. …”
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Impact of surrogate model accuracy on performance and model management strategy in surrogate-assisted evolutionary algorithms by Yuki Hanawa, Tomohiro Harada, Yukiya Miura

“…To reduce this cost, SAEAs employ surrogate models—machine learning models that approximate expensive evaluation functions. …”
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Optimization Method of Generation Rights Transaction Mechanism for Power System Accommodation Improvement by Haoliang XU, Panrun JIN, Jiheng JIANG, Zongxiang LU, Ying QIAO

“…With renewable energy consumption becoming a key issue, generation rights transaction between wind power and captive plants plays an important role in improving the power system's accommodation capacity. …”
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A New and Improved Sliding Mode Control Design Based on a Grey Linear Regression Model and Its Application in Pure Sine Wave Inverters for Photovoltaic Energy Conversion Systems by En-Chih Chang, Yeong-Jeu Sun, Chun-An Cheng

“…A new and improved sliding mode control (NISMC) with a grey linear regression model (GLRM) facilitates the development of high-quality pure sine wave inverters in photovoltaic (PV) energy conversion systems. …”
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An Improved NSGA-II-Based Method for Cutting Trajectory Planning of Boom-Type Roadheader by Chao Zhang, Xuhui Zhang, Wenjuan Yang, Jicheng Wan, Guangming Zhang, Yuyang Du, Sihao Tian, Zeyao Wang

“…This paper proposes a cutting trajectory planning method for boom-type roadheaders using an improved Nondominated Sorting Genetic Algorithm II (NSGA-II) with an elitist strategy. …”
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Improvement of Evaluation of 3-D Characteristics of a Diode-Pumped Alkali Laser by Juhong Han, Xiaoxu Liu, He Cai, Guofei An, Wei Zhang, Hongyuan Wang, You Wang

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Efficiency Improvement of Wireless Charging System Based on Active Power Source in Receiver by Bingkun Shi, Fuyuan Yang, Shidong Wang, Minggao Ouyang

“…A novel current decoupling algorithm is used to analyze the efficiency of the new configuration, and a simulation model is established to validate the theoretical result and to explain the mechanism of efficiency improvement. …”
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Improvements in Image Registration, Segmentation, and Artifact Removal in ThermOcular Imaging System by Navid Shahsavari, Ehsan Zare Bidaki, Alexander Wong, Paul J. Murphy

“…Among these, the OCRNet-HRNet-w18 model achieved a segmentation accuracy of 96.21% MIOU, highlighting the effectiveness of the improved pipeline. …”
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Recurrence Multilinear Regression Technique for Improving Accuracy of Energy Prediction in Power Systems by Quota Alief Sias, Rahma Gantassi, Yonghoon Choi, Jeong Hwan Bae

“…This paper also creates a pre-clustering using the K-Means algorithm before the energy prediction to improve accuracy. …”
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Improving Electrical Distance Accuracy for Cable Fault Location Based on the Prony Method by Xiang Ren, Zhiqiang Feng, Kai Zhou, Xueming Zhou, Jianjun Yuan, Yefei Xu, Li Zhang

“…By establishing a frequency-variable coupling model containing the transfer function of the cable with double joint structure, studying the mapping relationship between the cable attenuation constant and the electromagnetic wave velocity, and adopting the Prony estimation method combined with the singular value decomposition noise reduction algorithm to achieve the extraction of the attenuation constant and the decoupling of the segmented wave velocity, thus improving the electrical accuracy of fault location. …”
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Improving Access Trust in Healthcare Through Multimodal Deep Learning for Affective Computing by I. Sakthidevi, G. Fathima

“…The research work investigates the application of multimodal deep learning techniques in affective computing to improve access trust in healthcare environment. A novel algorithm, "Belief-Emo-Fusion," is proposed, aiming to enhance the understanding and interpretation of emotions in healthcare. …”
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Improving computational drug repositioning through multi-source disease similarity networks by Duc-Hau Le

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Improving Accuracy and Calibration of Deep Image Classifiers With Agreement-Driven Dynamic Ensemble by Pedro Conde, Rui L. Lopes, Cristiano Premebida

“…This motivates the development of Agreement-Driven Dynamic Ensemble, a deep ensemble method that - by dynamically combining the advantages of two different ensemble strategies - is capable of achieving the highest possible accuracy values while obtaining also substantial improvements in calibration. The merits of the proposed algorithm are shown through a series of representative experiments, leveraging two different neural network architectures and three different datasets against multiple state-of-the-art baselines.…”
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Machine Learning Innovations for Improving Mineral Recovery and Processing: A Comprehensive Review* by Korie, Josephmartin Izuchukwu*, Chudi-Ajabor, Ogochukwu Gabriela, Ezeonyema, Chukwudalu Chukwuekezie, Oshim, Francisca Ogechukwu

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Research on Surface Defect Detection of Rare-Earth Magnetic Materials Based on Improved SSD by Bin Zhang, Shuqi Fang, Zhixi Li

“…First of all, the multiscale receptive field module is embedded into the backbone network of the algorithm to improve the feature extraction ability of the model. …”
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