Self-Adaptive MOEA Feature Selection for Classification of Bankruptcy Prediction Data by A. Gaspar-Cunha, G. Recio, L. Costa, C. Estébanez

“…The proposed methodology makes use of self-adaptation by applying the feature selection algorithm while simultaneously optimising the parameters of the classifier used. …”
Get full text

Online Ensemble Using Adaptive Windowing for Data Streams with Concept Drift by Yange Sun, Zhihai Wang, Haiyang Liu, Chao Du, Jidong Yuan

“…Motivated by this challenge, we put forward an online ensemble paradigm, which aims to combine the best elements of block-based weighting and online processing. The algorithm uses the adaptive windowing as a change detector. …”
Get full text

Hybrid adaptive method for lane detection of degraded road surface condition by Khaled H. Almotairi

“…Subsequently, numerical features about the boundaries of the candidate lanes are extracted and used by a model of the k-nearest neighbor algorithm and the Gaussian process for final lane discovery. …”
Get full text

Assessment of the effectiveness of scenarios for the adaptation of the regional economy to external economic constraints by A. V. Rezepin, I. V. Danilova, N. V. Pravdina

“…Purpose: is to evaluate the effectiveness of adaptation scenarios to the external economic constraints of the regional economy, taking into account changes in the structural characteristics of the industrial sector.Methods: to determine the "sufficient" and "necessary" conditions for effective adaptation of regions to foreign economic constraints, the study used qualitative comparative analysis using fuzzy sets (fsQCA) and the Quine-McCluskey algorithm. 27 combinations of qualitative characteristics of regional adaptation have been identified, taking into account changes in the sectoral structure of production, the degree of openness of the economy, the level of manufacturability and innovation of products. …”
Get full text

HOW IS ARTIFICIAL INTELLIGENCE CHANGING HR? ADAPTIVE MANAGEMENT FOR THE NEW ENVIRONMENT by Dmytro Antoniuk, Bjoern Sven Ivens, Olexandr Kolyada

“…The study uses a mixed approach, combining literature review, empirical data collection based on interviews with companies of different sizes, and correlation analysis. The analysis focuses on the adaptability of AI-based HR systems, their impact on employee engagement, productivity and decision-making processes. …”
Get full text

Cross-Domain Recommendation Algorithm Based on Latent Factor Model by Sheng Gao, Siting Ren, Jun Guo

“…In the internet environment，the combining of multi-source heterogeneous information objects in different areas makes users face information selection dilemma problem in big data environment.It has been very difficulty for traditional information recommendation algorithms to adapt to the interdisciplinary information recommendation service.The evaluation model from a user clustering set to an information object clustering set has common characteristics of cross-domain and personality characteristics of single domain.By analyzing the evaluation data from users to information objects in different areas，these characteristics were extracted based on latent factor model.Then by transmitting and sharing the common characteristics of cross-domain，the data sparseness problem of target field was alleviated，which could improve the accuracy of cross-domain information recommendation.…”
Get full text

Adaptive Binaural Cue-Based Amplitude Panning in Irregular Loudspeaker Configurations by Shang Zhao, Yunjia Zhou, Zhibin Lin

“…This paper presents an adaptive binaural cue-based amplitude panning algorithm based on binaural cues tailored for accurate azimuthal sound image localization in irregular loudspeaker configurations. …”
Get full text

Robust UAV Target Tracking Algorithm Based on Saliency Detection by Hanqing Wu, Weihua Wang, Gao Chen, Xin Li

“…Firstly, this article analyzes the features from both spatial and temporal dimensions, evaluates the representational and discriminative abilities of different features, and achieves adaptive feature fusion. …”
Get full text

ADF-SL: An Adaptive and Fair Scheme for Smart Learning Task Distribution by Ahmed A. Al-Saedi, Veselka Boeva

“…This can result in significant model divergence and decreased performance due to differences in data distributions between various clients. …”
Get full text

Proof of concept of fully automated adaptive workflow for head and neck radiotherapy treatments with a conventional linear accelerator by Gaia Muti, Marco M. J. Felisi, Angelo F. Monti, Chiara Carsana, Roberto Pellegrini, Edoardo Salmeri, Mauro Palazzi, Paola E. Colombo

“…IntroductionThe objective of this study is to evaluate the performance of an automatic workflow for head-and-neck (H&N) radiotherapy using a multi-atlas based auto-contouring software and an a-priori multicriteria plan optimization algorithm and implement an adaptive online approach with CBCT images. …”
Get full text

Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms by Milad Mohebbi, Behnam Sobhani

“…These algorithms were evaluated for their effectiveness in adapting to seasonal variations in electricity consumption data. …”
Get full text

Research on rolling bearing compound fault diagnosis based on AMOMCKD and convolutional neural network by Runfang Hao, Yunpeng Bai, Kun Yang, Yongqiang Cheng, Shengjun Chang

“…Firstly, the key parameters of MCKD are optimized using the adaptive Non-dominated Sorting Genetic Algorithm (NSGA-II) with a new multi-objective evaluation index Hyperarea (HA). …”
Get full text

Optimizing Route Planning via the Weighted Sum Method and Multi-Criteria Decision-Making by Guanquan Zhu, Minyi Ye, Xinqi Yu, Junhao Liu, Mingju Wang, Zihang Luo, Haomin Liang, Yubin Zhong

“…The Wilcoxon signed-rank test confirms significant statistical differences among the algorithms. This study provides an effective method for experience-oriented path optimization and offers insights into algorithm selection for complex TTDP problems.…”
Get full text

Research on the On-Line Identification of Ship Maneuvering Motion Model Parameters and Adaptive Control by Jinlai Liu, Lubin Chang, Luping Xu, Fang He, Yixiong He

“…Data for identification are obtained via a maneuvering simulator and the impact of different forgetting factors on the identification process is evaluated. …”
Get full text

Adaptive multi classifier traffic data interpolation model based on information entropy by Yunkai ZHANG, Jin GAO, Qing LI, Xu WANG

“…Second,a dynamic adaptive weighting method was designed to resolve the problem of different classifiers being suitable for various samples caused by device heterogeneity. …”
Get full text

Characterizing Wake Behavior of Adaptive Aerodynamic Structures Using Reduced-Order Models by Kyan Sadeghilari, Aditya Atre, John Hall

Get full text

Solar Probability Density Estimation Using Adaptive Parametric/Nonparametric Hybrid Model by Maisam Wahbah, Bashar Zahawi, Tarek H. M. El-Fouly

“…The hybrid model is evaluated using multi-year data at six different sites in the United States. …”
Get full text

A Hybrid Artificial Bee Colony Algorithm for the Service Selection Problem by Changsheng Zhang, Bin Zhang

“…Finally, this approach is evaluated experimentally using different standard real datasets and synthetically generated datasets and compared with some recently proposed related service selection algorithms. …”
Get full text

DMSA-Net: a deformable multiscale adaptive classroom behavior recognition network by Chunyu Dong, Jing Liu, Shenglong Xie

“…Moreover, there are occlusions and scale differences in the front and back rankings, which can easily cause confusion and interference with target features in the detection process, greatly limiting the accurate recognition ability of existing visual algorithms for classroom behavior. …”
Get full text

A Heuristic Algorithm for Optimal Service Composition in Complex Manufacturing Networks by Yinan Wu, Gongzhuang Peng, Hongwei Wang, Heming Zhang

“…The proposed algorithm is evaluated through a set of computational experiments in which the proposed algorithm and other popular algorithms such as MFPB_HOSTP are applied to the same dataset, and the results obtained show that DHA_OSCP can efficiently find the optimal service composition path with better Quality of Service (QoS). …”
Get full text