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ORCIDIEEE Transactions on Emerging Topics in Computational Intelligence, Volume 6
Volume 6, Number 1, February 2022
- Alireza Jolfaei
, Muhammad Usman, Manuel Roveri, Michael Sheng, Marimuthu Palaniswami, Krishna Kant:
Guest Editorial: Computational Intelligence for Human-in-the-Loop Cyber Physical Systems. 2-5 - Tianqi Zhou, Jian Shen, Debiao He, Pandi Vijayakumar, Neeraj Kumar:
Human-in-the-Loop-Aided Privacy-Preserving Scheme for Smart Healthcare. 6-15 - Jimmy Ming-Tai Wu, Gautam Srivastava, Alireza Jolfaei, Matin Pirouz, Jerry Chun-Wei Lin:
Security and Privacy in Shared HitLCPS Using a GA-Based Multiple-Threshold Sanitization Model. 16-25 - Khalil Al Handawi, Michael Kokkolaras:
Optimization of Infectious Disease Prevention and Control Policies Using Artificial Life. 26-40 - Murat Simsek, Burak Kantarci, Azzedine Boukerche, Shahzad Khan:
Machine Learning-Backed Planning of Rapid COVID-19 Tests With Autonomous Vehicles With Zero-Day Considerations. 41-52 - Huaqing Li, Lifeng Zheng, Zheng Wang, Yu Yan, Liping Feng, Jing Guo:
S-DIGing: A Stochastic Gradient Tracking Algorithm for Distributed Optimization. 53-65 - Honghao Gao, Xi Qin, Ramón J. Durán Barroso, Walayat Hussain, Yueshen Xu, Yuyu Yin:
Collaborative Learning-Based Industrial IoT API Recommendation for Software-Defined Devices: The Implicit Knowledge Discovery Perspective. 66-76 - Chen Wang, Hui Ma, Gang Chen, Sven Hartmann, Jürgen Branke:
Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures. 77-92 - Teena Sharma, Nishchal K. Verma:
Estimating Depth and Global Atmospheric Light for Image Dehazing Using Type-2 Fuzzy Approach. 93-102 - Changsheng Li, Chen Yang, Lingyan Liang, Ye Yuan, Guoren Wang:
On Robust Grouping Active Learning. 103-112 - Fang Wang, Yu-Chu Tian, Xueying Zhang, Fengyun Hu:
Detecting Disorders of Consciousness in Brain Injuries From EEG Connectivity Through Machine Learning. 113-123 - Ruthvik Vaila, John N. Chiasson, Vishal Saxena:
A Deep Unsupervised Feature Learning Spiking Neural Network With Binarized Classification Layers for the EMNIST Classification. 124-135 - Lijia Ma, Yuchun Ma, Qiuzhen Lin, Junkai Ji, Carlos A. Coello Coello, Maoguo Gong:
SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets. 136-149 - Ying Ma, Yunjie Lei, Tian Wang:
A Natural Scene Recognition Learning Based on Label Correlation. 150-158 - Akshay Dudhane, Prashant W. Patil, Subrahmanyam Murala:
An End-to-End Network for Image De-Hazing and Beyond. 159-170 - Anima Pramanik, Sankar K. Pal, Jhareswar Maiti, Pabitra Mitra:
Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking. 171-181 - Shengfei Lyu, Jin Cheng, Xingyu Wu, Lizhen Cui, Huanhuan Chen, Chunyan Miao:
Auxiliary Learning for Relation Extraction. 182-191 - Ioannis Tsingalis, Constantine Kotropoulos, Anastasios Drosou, Dimitrios Tzovaras:
Non-Negative Sparse PCA: An Intelligible Exact Approach. 192-204 - Iroshani Jayawardene, Ganesh Kumar Venayagamoorthy, Xingsi Zhong:
Resilient and Sustainable Tie-Line Bias Control for a Power System in Uncertain Environments. 205-219 - Jean-Marc Le Caillec:
Asset Picking Based on a Markov Chain Modeling the Asset Performance. 220-229
Volume 6, Number 2, April 2022
- Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, Cheston Tan:
A Survey of Embodied AI: From Simulators to Research Tasks. 230-244 - Mahammad Shareef Mekala, Alireza Jolfaei, Gautam Srivastava, Xi Zheng, Amjad Anvari-Moghaddam, P. Viswanathan:
Resource Offload Consolidation Based on Deep-Reinforcement Learning Approach in Cyber-Physical Systems. 245-254 - Vincent Taboga, Amine Bellahsen, Hanane Dagdougui:
An Enhanced Adaptivity of Reinforcement Learning-Based Temperature Control in Buildings Using Generalized Training. 255-266 - Behnam Faraji, Meysam Gheisarnejad, Zahra Esfahani, Mohammad Hassan Khooban:
Smart Sensor Control for Rehabilitation in Parkinson's Patients. 267-275 - Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa:
Energy-Based Dropout in Restricted Boltzmann Machines: Why Not Go Random. 276-286 - Mohammad Khalid Pandit, Roohie Naaz Mir, Mohammad Ahsan Chishti:
Learning Sparse Neural Networks Using Non-Convex Regularization. 287-299 - Zedong Tang, Maoguo Gong, Yu Xie, Hao Li, Alex Kai Qin:
Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning. 300-314 - Zhi-Hui Zhan, Jun Zhang, Ying Lin, Jian-Yu Li, Ting Huang, Xiao-Qi Guo, Feng-Feng Wei, Sam Kwong, Xinyi Zhang, Rui You:
Matrix-Based Evolutionary Computation. 315-328 - Rohan Mohapatra, Snehanshu Saha, Carlos A. Coello Coello, Anwesh Bhattacharya, Soma S. Dhavala, Sriparna Saha:
AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence. 329-340 - Lianbo Ma, Shi Cheng, Mingli Shi, Yinan Guo:
Angle-Based Multi-Objective Evolutionary Algorithm Based On Pruning-Power Indicator for Game Map Generation. 341-354 - Yu Xue, Yihang Tang, Xin Xu, Jiayu Liang, Ferrante Neri:
Multi-Objective Feature Selection With Missing Data in Classification. 355-364 - Wei-Yu Chiu, Wei-Kang Hsieh, Chia-Ming Chen, Yu-Chieh Chuang:
Multiobjective Demand Response for Internet Data Centers. 365-376 - Kostas Kolomvatsos:
Data-Driven Type-2 Fuzzy Sets for Tasks Management at the Edge. 377-386 - Qiongdan Lou, Zhaohong Deng, Kup-Sze Choi, Hong-Bin Shen, Jun Wang, Shitong Wang:
Robust Multi-Label Relief Feature Selection Based on Fuzzy Margin Co-Optimization. 387-398 - Feng Lin, Hao Ying:
Modeling and Control of Probabilistic Fuzzy Discrete Event Systems. 399-408 - Scott Dick:
On Complex Fuzzy S-Implications. 409-415
Volume 6, Number 3, June 2022
- Vivek Dixit, Raja Selvarajan, Tamer Aldwairi, Yaroslav Koshka, Mark A. Novotny, Travis S. Humble, Muhammad Ashraful Alam, Sabre Kais:
Training a Quantum Annealing Based Restricted Boltzmann Machine on Cybersecurity Data. 417-428 - Zhe Wang, Claude Guet:
Deep Learning in Physics: A Study of Dielectric Quasi-Cubic Particles in a Uniform Electric Field. 429-438 - Pascal A. Schirmer, Iosif Mporas:
Double Fourier Integral Analysis Based Convolutional Neural Network Regression for High-Frequency Energy Disaggregation. 439-449 - Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu:
TDM: Trustworthy Decision-Making Via Interpretability Enhancement. 450-461 - Yichen Liu, Pan Zhou, Lei Yang, Yulei Wu, Zichuan Xu, Kai Liu, Xiumin Wang:
Privacy-Preserving Context-Based Electric Vehicle Dispatching for Energy Scheduling in Microgrids: An Online Learning Approach. 462-478 - Changgang Zheng, Shufan Yang, Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo:
Reward-Reinforced Generative Adversarial Networks for Multi-Agent Systems. 479-488 - Huan Chang, Yicheng Chen, Baochang Zhang, David S. Doermann:
Multi-UAV Mobile Edge Computing and Path Planning Platform Based on Reinforcement Learning. 489-498 - Yu-Chieh Chuang, Wei-Yu Chiu:
Deep Reinforcement Learning Based Pricing Strategy of Aggregators Considering Renewable Energy. 499-508 - Lixia Zhang, Kangshun Li, Yu Qi:
Person Re-Identification With Multi-Features Based on Evolutionary Algorithm. 509-518 - Zhu Wang, Honglong Chen, Zhe Li, Kai Lin, Nan Jiang, Feng Xia:
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation. 519-529 - Hossein Hassani, Roozbeh Razavi-Far, Mehrdad Saif, Jafar Zarei, Frede Blaabjerg:
Intelligent Decision Support and Fusion Models for Fault Detection and Location in Power Grids. 530-543 - Hao Zhang, Lianbo Ma, Junyi Wang, Liang Wang:
Furnace-Grouping Problem Modeling and Multi-Objective Optimization for Special Aluminum. 544-555 - Karuna Kumari Eerapu, Shyam Lal, A. V. Narasimhadhan:
O-SegNet: Robust Encoder and Decoder Architecture for Objects Segmentation From Aerial Imagery Data. 556-567 - Bo-Chen Lai, Wei-Yu Chiu, Yuan-Po Tsai:
Multiagent Reinforcement Learning for Community Energy Management to Mitigate Peak Rebounds Under Renewable Energy Uncertainty. 568-579 - Xiaoye Qu, Zhikang Zou, Xinxing Su, Pan Zhou, Wei Wei, Shiping Wen, Dapeng Oliver Wu:
Attend to Where and When: Cascaded Attention Network for Facial Expression Recognition. 580-592 - Wujie Zhou, Sijia Pan, Jingsheng Lei, Lu Yu:
TMFNet: Three-Input Multilevel Fusion Network for Detecting Salient Objects in RGB-D Images. 593-601 - Magudeeswaran Veluchamy, Ashish Kumar Bhandari, Bharath Subramani:
Optimized Bezier Curve Based Intensity Mapping Scheme for Low Light Image Enhancement. 602-612 - Weiping Ding, Yurui Ming, Zehong Cao, Chin-Teng Lin:
A Generalized Deep Neural Network Approach for Digital Watermarking Analysis. 613-627 - Parul Arora, Abbas Khosravi, Bijaya K. Panigrahi, Ponnuthurai N. Suganthan:
Remodelling State-Space Prediction With Deep Neural Networks for Probabilistic Load Forecasting. 628-637 - Lei Li, Ping Ding, Huanhuan Chen, Xindong Wu:
Frequent Pattern Mining in Big Social Graphs. 638-648 - Prarthi Jain, Seemandhar Jain, Osmar R. Zaïane, Abhishek Srivastava:
Anomaly Detection in Resource Constrained Environments With Streaming Data. 649-659 - Iztok Fister Jr., Iztok Fister:
Information Cartography in Association Rule Mining. 660-676 - Anwesha Law, Ashish Ghosh:
Multi-Label Classification Using Binary Tree of Classifiers. 677-689 - Xinyu Li, Zhao Zhang, Liang Gao, Long Wen:
A New Semi-Supervised Fault Diagnosis Method via Deep CORAL and Transfer Component Analysis. 690-699 - Wenlong Wu, James M. Keller, Jeffrey Dale, James C. Bezdek:
StreamSoNG: A Soft Streaming Classification Approach. 700-709 - Yiming Tang, Witold Pedrycz, Fuji Ren:
Granular Symmetric Implicational Method. 710-723
Volume 6, Number 4, August 2022
- Xiaoli Li, Huanhuan Chen, Thomas Ploetz, Min Wu, Zhenghua Chen:
Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition. 725-727 - Yinan Guo, Yaoqi Chu, Botao Jiao, Jian Cheng, Zekuan Yu, Ning Cui, Lianbo Ma:
Evolutionary Dual-Ensemble Class Imbalance Learning for Human Activity Recognition. 728-739 - Atul Chaudhary, Hari Prabhat Gupta, K. K. Shukla:
Real-Time Activities of Daily Living Recognition Under Long-Tailed Class Distribution. 740-750 - Chanxin Zhou, Bang Wang, Yijun Mo, Zeng Zeng:
MOCLoc: Emerging Online Collaborative Localization Enhanced by Multidimensional Scaling. 751-761 - Geet Sahu, Ayan Seal, Debotosh Bhattacharjee, Mita Nasipuri, Peter Brida, Ondrej Krejcar:
Trends and Prospects of Techniques for Haze Removal From Degraded Images: A Survey. 762-782 - Qiuzhen Lin, Zhixiong Fang, Yi Chen, Kay Chen Tan, Yun Li:
Evolutionary Architectural Search for Generative Adversarial Networks. 783-794 - Hadi Zanddizari, Behnam Zeinali, J. Morris Chang:
Generating Black-Box Adversarial Examples in Sparse Domain. 795-804 - Mingzhou Yang, Xingwei Wang, Min Huang, Lianbo Ma, Qiang He:
A Novel Evolutionary Algorithm Based on Judgment-Rule Evolution Strategy for Structural Balance in Signed Social Networks. 805-817 - Weifeng Gao, Jiangli Cheng, Maoguo Gong, Hong Li, Jin Xie:
Multiobjective Multitasking Optimization With Subspace Distribution Alignment and Decision Variable Transfer. 818-827 - Avisek Gupta, Swagatam Das:
Transfer Clustering Using a Multiple Kernel Metric Learned Under Multi-Instance Weak Supervision. 828-838 - Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong, Sajal K. Das:
Dynamic Path Planning for Unmanned Aerial Vehicles Under Deadline and Sector Capacity Constraints. 839-851 - Burak Yildirim, Meysam Gheisarnejad, Mohammad Hassan Khooban:
A Robust Non-Integer Controller Design for Load Frequency Control in Modern Marine Power Grids. 852-866 - Yao-Hsin Chou, Yu-Chi Jiang, Yi-Rui Hsu, Shu-Yu Kuo, Sy-Yen Kuo:
A Weighted Portfolio Optimization Model Based on the Trend Ratio, Emotion Index, and ANGQTS. 867-882 - Shengfei Lyu, Xingyu Wu, Jinlong Li, Qiuju Chen, Huanhuan Chen:
Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition. 883-892 - Yu Zhou, Lianghai Jin, Guangzhi Ma, Xiangyang Xu:
Quaternion Capsule Neural Network With Region Attention for Facial Expression Recognition in Color Images. 893-912 - Xiang Fang, Yuchong Hu, Pan Zhou, Dapeng Oliver Wu:
Unbalanced Incomplete Multi-View Clustering Via the Scheme of View Evolution: Weak Views are Meat; Strong Views Do Eat. 913-927 - Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Anas Tahir, Yazan Qiblawey, Tawsifur Rahman:
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication. 928-940 - Omobayode Fagbohungbe, Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian:
Efficient Privacy Preserving Edge Intelligent Computing Framework for Image Classification in IoT. 941-956 - Wujie Zhou, Yun Zhu, Jingsheng Lei, Jian Wan, Lu Yu:
APNet: Adversarial Learning Assistance and Perceived Importance Fusion Network for All-Day RGB-T Salient Object Detection. 957-968 - Jinfu Chen, Haibo Chen, Yuchi Guo, Minmin Zhou, Rubing Huang, Chengying Mao:
A Novel Test Case Generation Approach for Adaptive Random Testing of Object-Oriented Software Using K-Means Clustering Technique. 969-981 - Sunwoo Ahn, Hayoon Yi, Ho Bae, Sungroh Yoon, Yunheung Paek:
Data Embedding Scheme for Efficient Program Behavior Modeling With Neural Networks. 982-993 - Bo-Wei Chen, Kuan-Lin Hou:
Half Quadratic Dual Learning for Fuzzy Multiconcepts of Partially-Observed Images. 994-1007 - Mohammad Javadian, Arian Hejazi, Sajad Haghzad Klidbary:
Obtaining Fuzzy Membership Function of Clusters With the Memristor Hardware Implementation and On-Chip Learning. 1008-1025
Volume 6, Number 5, October 2022
- Guanfeng Liu, An Liu, Qing Li, Huanhuan Chen, Deepak Puthal:
Guest Editorial Special Issue on Computational Intelligence in Big Graph Data Management. 1027-1029 - Yanmin Li, Lihua Liu, Jibing Wu, Mao Wang, Haohao Zhou, Hongbin Huang:
Optimal Searching Time Allocation for Information Collection Under Cooperative Path Planning of Multiple UAVs. 1030-1043 - Jie Cao, Yuyao Wang, Zhan Bu, Youquan Wang, Haicheng Tao, Guixiang Zhu:
Compactness Preserving Community Computation Via a Network Generative Process. 1044-1056 - Lei Li, Lan Jiang, Chenyang Bu, Yi Zhu, Xindong Wu:
Interval-Valued Intuitionistic Fuzzy Decision With Graph Pattern in Big Graph. 1057-1067 - Ming Dong, Bolong Zheng, Guohui Li, Chenliang Li, Kai Zheng, Xiaofang Zhou:
Wavefront-Based Multiple Rumor Sources Identification by Multi-Task Learning. 1068-1078 - Man Wu, Shirui Pan, Xingquan Zhu:
Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network. 1079-1091 - Bowen Xing, Ivor W. Tsang:
Understand Me, if You Refer to Aspect Knowledge: Knowledge-Aware Gated Recurrent Memory Network. 1092-1102 - Zhe Wang, Claude Guet:
Self-Consistent Learning of Neural Dynamical Systems From Noisy Time Series. 1103-1112 - Shuai Chen, Xiumin Wang, Pan Zhou, Weiwei Wu, Weiwei Lin, Zhenyu Wang:
Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach. 1113-1124 - Yaqing Hou, Mingyang Sun, Wenxuan Zhu, Yifeng Zeng, Haiyin Piao, Xuefeng Chen, Qiang Zhang:
Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems. 1125-1136 - Isaac J. Sledge, Darshan W. Bryner, José C. Príncipe:
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. 1137-1156 - Surbhi Gupta, Gaurav Singal, Deepak Garg, Swagatam Das:
RSAC: A Robust Deep Reinforcement Learning Strategy for Dimensionality Perturbation. 1157-1166 - Yin Tang, Lei Zhang, Qi Teng, Fuhong Min, Aiguo Song:
Triple Cross-Domain Attention on Human Activity Recognition Using Wearable Sensors. 1167-1176 - Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Naveed ur Rehman, Weiping Ding, Gaoxi Xiao:
Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition. 1177-1189 - Quan Chen, Wei Xie, Pan Zhou, Chuansheng Zheng, Dapeng Oliver Wu:
Multi-Crop Convolutional Neural Networks for Fast Lung Nodule Segmentation. 1190-1200 - Wei Huang, Xin Shu, Zizhou Wang, Lei Zhang, Chaoyue Chen, Jianguo Xu, Zhang Yi:
Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation. 1201-1210 - Hongchao Li, Xianmin Lin, Aihua Zheng, Chenglong Li, Bin Luo, Ran He, Amir Hussain:
Attributes Guided Feature Learning for Vehicle Re-Identification. 1211-1221 - Yueli Cui, Gangyi Jiang, Mei Yu, Yang Song:
Local Visual and Global Deep Features Based Blind Stitched Panoramic Image Quality Evaluation Using Ensemble Learning. 1222-1236 - Chaoqiang Zhao, Yang Tang, Qiyu Sun:
Unsupervised Monocular Depth Estimation in Highly Complex Environments. 1237-1246 - Fan Yang, Xinyu Lei, Junqing Le, Nankun Mu, Xiaofeng Liao:
Minable Data Publication Based on Sensitive Association Rule Hiding. 1247-1257 - Xiaoyong Yuan, Leah Ding, Lan Zhang, Xiaolin Li, Dapeng Oliver Wu:
ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles. 1258-1270 - Xiaoyu He, Zibin Zheng, Zefeng Chen, Yuren Zhou:
Adaptive Evolution Strategies for Stochastic Zeroth-Order Optimization. 1271-1285
Volume 6, Number 6, December 2022
- Yang Tang, Gary G. Yen, Jürgen Kurths:
Guest Editorial Special Issue on Computational Intelligence for Perception and Decision-Making of Autonomous Systems. 1287-1289 - Alessio Mingozzi, Andrea Conti, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Monitoring Social Distancing With Single Image Depth Estimation. 1290-1301 - Junfei Yi, Hui Zhang, Jianxu Mao, Yurong Chen, Hang Zhong, Yaonan Wang:
Pharmaceutical Foreign Particle Detection: An Efficient Method Based on Adaptive Convolution and Multiscale Attention. 1302-1313 - Jiaxing Wang, Lei Shi, Weiqun Wang, Zeng-Guang Hou:
Efficient Brain Decoding Based on Adaptive EEG Channel Selection and Transformation. 1314-1323 - Chayan Banerjee, Zhiyong Chen, Nasimul Noman, Mohsen Zamani:
Optimal Actor-Critic Policy With Optimized Training Datasets. 1324-1334 - Trevor Bonjour, Marina Haliem, Aala Oqab Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Mayank Kejriwal, Bharat K. Bhargava:
Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach. 1335-1344 - Fuchun Sun, Yang Chen, Yangyang Wu, Linxiang Li, Xiaolei Ren:
Motion Planning and Cooperative Manipulation for Mobile Robots With Dual Arms. 1345-1356 - Junjie Cao, Yujie Wang, Yong Liu, Xuesong Ni:
Multi-Robot Learning Dynamic Obstacle Avoidance in Formation With Information-Directed Exploration. 1357-1367 - Hong Zhang, Hao Tian, Mianxiong Dong, Kaoru Ota, Juncheng Jia:
FedPCC: Parallelism of Communication and Computation for Federated Learning in Wireless Networks. 1368-1377 - Runshan Xie, Chi-Man Vong, C. L. Philip Chen, Shitong Wang:
Dynamic Network Structure: Doubly Stacking Broad Learning Systems With Residuals and Simpler Linear Model Transmission. 1378-1395 - Zengguang Liu, Jiguo Yu, Biwei Yan, Guijuan Wang:
A Deep 1-D CNN and Bidirectional LSTM Ensemble Model With Arbitration Mechanism for LDDoS Attack Detection. 1396-1410 - You Zhao, Xiaofeng Liao, Xing He:
Distributed Continuous and Discrete Time Projection Neurodynamic Approaches for Sparse Recovery. 1411-1426 - Wenjian Luo, Licai Zhang, Peiyi Han, Chuanyi Liu, Rongfei Zhuang:
Taking Away Both Model and Data: Remember Training Data by Parameter Combinations. 1427-1437 - Li-Jiao Wu, Lin Shi, Zhi-Hui Zhan, Kuei-Kuei Lai, Jun Zhang:
A Buffer-Based Ant Colony System Approach for Dynamic Cold Chain Logistics Scheduling. 1438-1452 - Tapas Bhadra, Ujjwal Maulik:
Unsupervised Feature Selection Using Iterative Shrinking and Expansion Algorithm. 1453-1462 - Sumanta Ray, Snehalika Lall, Sanghamitra Bandyopadhyay:
A Deep Integrated Framework for Predicting SARS-CoV2-Human Protein-Protein Interaction. 1463-1472
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