Ausgabe 2/2023
Special Issue on 2019 India International Congress on Computational Intelligence (pp.1053-1245)/Regular papers (pp.1247-2024)
Inhalt (54 Artikel)
2019 India International Congress on Computational Intelligence
Suash Deb, Ka-Chun Wong, Thomas Hanne
Nonparametric method of topic identification using granularity concept and graph-based modeling
Isha Ganguli, Jaya Sil, Nandita Sengupta
Selection of optimal wavelet features for epileptic EEG signal classification with LSTM
Ibrahim Aliyu, Chang Gyoon Lim
Investigation of PCA as a compression pre-processing tool for X-ray image classification
W. Doorsamy, V. Rameshar
Hypothesis derivation and its verification by a wholly automated many-objective evolutionary optimization system
Kazuhisa Chiba, Masataka Sawahara, Tsuyoshi Sumimoto, Taiki Hatta, Masahiro Kanazaki
The effect of different stopping criteria on multi-objective optimization algorithms
Iyad Abu Doush, Mohammed El-Abd, Abdelaziz I. Hammouri, Mohammad Qasem Bataineh
A flexible framework for anomaly Detection via dimensionality reduction
Alireza Vafaei Sadr, Bruce A. Bassett, M. Kunz
Fake review and reviewer detection through behavioral graph partitioning integrating deep neural network
Bundit Manaskasemsak, Jirateep Tantisuwankul, Arnon Rungsawang
Effect of learning strategies in an evolutionary method: the case of the bi-objective quadratic multiple knapsack problem
Méziane Aïder, Oussama Gacem, Mhand Hifi
Evolutionary algorithm applied to time-series landing flight path and control optimization of supersonic transport
Masahiro Kanazaki, Nao Setoguchi, Ryouta Saisyo
Performance analysis of stirling engine using computational intelligence techniques (ANN & Fuzzy Mamdani Model) and hybrid algorithms (ANN-PSO & ANFIS)
M. G. K. Machesa, L. K. Tartibu, M. O. Okwu
Application of streaming analytics for Artificial Lift systems: a human-in-the-loop approach for analysing clustered time-series data from progressive cavity pumps
Fahd Saghir, M. E. Gonzalez Perdomo, Peter Behrenbruch
The application of neural network for software vulnerability detection: a review
Yuhui Zhu, Guanjun Lin, Lipeng Song, Jun Zhang
Generating ten BCI commands using four simple motor imageries and classification by divergence-based DNN
Nuri Korhan, Tamer Olmez, Zümray Dokur
Distance-based arranging oversampling technique for imbalanced data
Qi Dai, Jian-wei Liu, Jia-Liang Zhao
An Enhanced Binary Particle Swarm Optimization (E-BPSO) algorithm for service placement in hybrid cloud platforms
Wissem Abbes, Zied Kechaou, Amir Hussain, Abdulrahman M. Qahtani, Omar Almutiry, Habib Dhahri, Adel M. Alimi
MSSPP: modified sparrow search algorithm based mobile sink path planning for WSNs
Ahmed M. Khedr, Zaher Al Aghbari, Pravija P. V. Raj
Deep reinforcement learning for automated search of model parameters: photo-fenton wastewater disinfection case study
Sergio Hernández-García, Alfredo Cuesta-Infante, José Ángel Moreno-SanSegundo, Antonio S. Montemayor
Multi-modal traffic event detection using shapelets
Ahmed AlDhanhani, Ernesto Damiani, Rabeb Mizouni, Di Wang, Ahmad Al-Rubaie
Emotion recognition in EEG signals using the continuous wavelet transform and CNNs
Oscar Almanza-Conejo, Dora Luz Almanza-Ojeda, Jose Luis Contreras-Hernandez, Mario Alberto Ibarra-Manzano
A new common spatial pattern-based unified channels algorithm for driver’s fatigue EEG signals classification
Hong Zeng, Wael Zakaria
Heap-based optimizer embedded with search strategies applied to high-order analog filter designs: a comparative study with up-to-date metaheuristics
Yiğit Çağatay Kuyu, Fahri Vatansever
A deep sign language recognition system for Indian sign language
Soumen Das, Saroj Kr. Biswas, Biswajit Purkayastha
Adapting deep learning models between regional markets
Isaac Tonkin, Adrian Gepp, Geoff Harris, Bruce Vanstone
Evaluating the performance of meta-heuristic algorithms on CEC 2021 benchmark problems
Ali Wagdy Mohamed, Karam M. Sallam, Prachi Agrawal, Anas A. Hadi, Ali Khater Mohamed
JSMix: a holistic algorithm for learning with label noise
Zhijie Wen, Hui Xu, Shihui Ying
Transparent deep machine learning framework for predicting traffic crash severity
Karim Sattar, Feras Chikh Oughali, Khaled Assi, Nedal Ratrout, Arshad Jamal, Syed Masiur Rahman
Pattern lock screen detection method based on lightweight deep feature extraction
Fatih Ertam, Omer Faruk Yakut, Turker Tuncer
Fully automatic CNN design with inception and ResNet blocks
Togzhan Barakbayeva, Fatih M. Demirci
Empirical validation of ELM trained neural networks for financial modelling
Volodymyr Novykov, Christopher Bilson, Adrian Gepp, Geoff Harris, Bruce James Vanstone
Multimodal tweet classification in disaster response systems using transformer-based bidirectional attention model
Rani Koshy, Sivasankar Elango
Convolutional neural networks combined with Runge–Kutta methods
Mai Zhu, Bo Chang, Chong Fu
Auto diagnostic system for detecting solitary and juxtapleural pulmonary nodules in computed tomography images using machine learning
Ayat Karrar, Mai S. Mabrouk, Manal Abdel Wahed, Ahmed Y. Sayed
A feedforward neural network framework for approximating the solutions to nonlinear ordinary differential equations
Pavithra Venkatachalapathy, S. M. Mallikarjunaiah
Semi-global fixed/predefined-time RNN models with comprehensive comparisons for time-variant neural computing
Mingxuan Sun, Xing Li, Guomin Zhong
GIMIRec: Global Interaction-aware Multi-Interest framework for sequential Recommendation
Ke-Jia Chen, Jie Zhang, Jingqiang Chen
Multi-objective memetic differential evolution optimization algorithm for text clustering problems
Hossam M. J. Mustafa, Masri Ayob, Hisham A. Shehadeh, Sawsan Abu-Taleb
Simulating a complete Tritonia escape swim network using a novel event-based spiking neural network algorithm
Fatemehossadat Miri, Carol I. Miles, Harold W. Lewis III
An Efficient High-dimensional Feature Selection Approach Driven By Enhanced Multi-strategy Grey Wolf Optimizer for Biological Data Classification
Majdi Mafarja, Thaer Thaher, Jingwei Too, Hamouda Chantar, Hamza Turabieh, Essam H. Houssein, Marwa M. Emam
Deep-learning-based human activity recognition for Alzheimer’s patients’ daily life activities assistance
Ahmed Snoun, Tahani Bouchrika, Olfa Jemai
An improved parameter learning methodology for RVFL based on pseudoinverse learners
Xiaoxuan Sun, Xiaodan Deng, Qian Yin, Ping Guo
Knowledge tracing based on multi-feature fusion
Yongkang Xiao, Rong Xiao, Ning Huang, Yixin Hu, Huan Li, Bo Sun
3 s-STNet: three-stream spatial–temporal network with appearance and skeleton information learning for action recognition
Ming Fang, Siyu Peng, Yang Zhao, Haibo Yuan, Chih-Cheng Hung, Shuhua Liu
Improved deep convolutional neural network-based COOT optimization for multimodal disease risk prediction
D. Shiny Irene, M. Lakshmi, A. Mary Joy Kinol, A. Joseph Selva Kumar
Solving TSP by using combinatorial Bees algorithm with nearest neighbor method
Murat Sahin
Fine-grained image retrieval by combining attention mechanism and context information
Xiaoqing Li, Jinwen Ma
Toward reliable machine learning with Congruity: a quality measure based on formal concept analysis
Carmen De Maio, Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, Claudio Stanzione
Learning the transfer function in binary metaheuristic algorithm for feature selection in classification problems
Zahra Nassiri, Hesam Omranpour
D-former: a U-shaped Dilated Transformer for 3D medical image segmentation
Yixuan Wu, Kuanlun Liao, Jintai Chen, Jinhong Wang, Danny Z. Chen, Honghao Gao, Jian Wu
Demand forecasting model for time-series pharmaceutical data using shallow and deep neural network model
R. Rathipriya, Abdul Aziz Abdul Rahman, S. Dhamodharavadhani, Abdelrhman Meero, G. Yoganandan
C3N: content-constrained convolutional network for mural image completion
Xianlin Peng, Huayu Zhao, Xiaoyu Wang, Yongqin Zhang, Zhan Li, Qunxi Zhang, Jun Wang, Jinye Peng, Haida Liang
PL-Transformer: a POS-aware and layer ensemble transformer for text classification
Yu Shi, Xi Zhang, Ning Yu
Energy Profile Bayes and Thompson Optimized Convolutional Neural Network protein structure prediction
Varanavasi Nallasamy, Malarvizhi Seshiah
FT-HID: a large-scale RGB-D dataset for first- and third-person human interaction analysis
Zihui Guo, Yonghong Hou, Pichao Wang, Zhimin Gao, Mingliang Xu, Wanqing Li