Editorial Board
A feature level image fusion for Night-Vision context enhancement using Arithmetic optimization algorithm based image segmentation
Self-supervised inter- and intra-slice correlation learning for low-dose CT image restoration without ground truth
Superiority of q-Chlodowsky operators versus fuzzy systems and neural networks: Application to adaptive impedance control of electrical manipulators
The behavioural best-worst method
Forecasting Chinese provincial carbon emissions using a novel grey prediction model considering spatial correlation
A reinforced active learning approach for optimal sampling in aspect term extraction for sentiment analysis
Automated diagnosis of schizophrenia using EEG microstates and Deep Convolutional Neural Network
A core-based quota allocation model for the Bitcoin-refunded Blockchain network
Distributionally robust location–allocation models of distribution centers for fresh products with uncertain demands
Consistency of total fuzzy relations: New algorithms to detect and repair inconsistent judgments
IFS and SODA based computational method for fuzzy time series forecasting
Aspect2Labels: A novelistic decision support system for higher educational institutions by using multi-layer topic modelling approach
Region-based layout analysis of music score images
Comparative analysis of hybrid MCDM methods in material selection for dental applications
Swin-MFINet: Swin transformer based multi-feature integration network for detection of pixel-level surface defects
Customer churn prediction for web browsers
An end-to-end ranking system based on customers reviews: Integrating semantic mining and MCDM techniques
Multi-modality image fusion for medical assistive technology management based on hybrid domain filtering
AERPSO — An adaptive exploration robotic PSO based cooperative algorithm for multiple target searching
Using quantum amplitude amplification in genetic algorithms
Surrogate-assisted automatic evolving of dispatching rules for multi-objective dynamic job shop scheduling using genetic programming
Detecting ongoing events using contextual word and sentence embeddings
Representing and modeling spatio-temporal uncertainty using belief function theory in flood extent mapping
EHMIN: Efficient approach of list based high-utility pattern mining with negative unit profits
BERT-based response selection in dialogue systems using utterance attention mechanisms
An expert system to react to defective areas in nesting problems
An intelligent energy efficient handover mechanism with adaptive discontinuous reception in next generation telecommunication networks
Forecasting tunnel boring machine penetration rate using LSTM deep neural network optimized by grey wolf optimization algorithm
KEST: A graph-based keyphrase extraction technique for tweets summarization using Markov Decision Process
Context-aware similarity measurement of lane-changing trajectories
Low resource machine translation of english–manipuri: A semi-supervised approach
Tracing the evolution of AI in the past decade and forecasting the emerging trends
Assessing the performance of unmanned aerial vehicle for logistics and transportation leveraging the Bayesian network approach
Crop-water assessment in Citrus (Citrus sinensis L.) based on continuous measurements of leaf-turgor pressure using machine learning and IoT
Study on the effect of extreme learning machine and its variants in differentiating Alzheimer conditions from selective regions of brain MR images
Integrated ANN-Bayes-based travel time prediction modeling for signalized corridors with probe data acquisition paradigm
A hybrid CNN + BILSTM deep learning-based DSS for efficient prediction of judicial case decisions
A synthetical analysis method of measuring technology convergence
Cross lingual transfer learning for sentiment analysis of Italian TripAdvisor reviews
The trade-off between topology and content in community detection: An adaptive encoder–decoder-based NMF approach
Hierarchical attention and transformers for automatic movie rating
Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data
Adaptive random down-sampling data augmentation and area attention pooling for low resolution face recognition
Weakly labeled data augmentation for social media named entity recognition
Institutional collaboration recommendation: An expertise-based framework using NLP and network analysis
Wafer map failure pattern recognition based on deep convolutional neural network
Transition-driven time prediction for business processes with cycles
Vision talks: Visual relationship-enhanced transformer for video-guided machine translation
A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends
Ensemble grey wolf Optimizer and its application for image segmentation
Optimal visual tracking using Wasserstein transport proposals
A semi-supervised co-training model for predicting passenger flow change in expanding subways
Automatic gear shift strategy for manual transmission of mine truck based on Bi-LSTM network
Adaptive talent journey: Optimization of talents’ growth path within a company via Deep Q-Learning
METransE: Manifold-like mechanism enhanced embedding for reasoning over knowledge graphs
Ranked hesitant fuzzy sets for multi-criteria multi-agent decisions
DFAEN: Double-order knowledge fusion and attentional encoding network for texture recognition
Neutrosophic set based local binary pattern for texture classification
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection
Global-local integration for GNN-based anomalous device state detection in industrial control systems
Enhanced mass Jensen–Shannon divergence for information fusion
Understanding customer satisfaction via deep learning and natural language processing
Complexity analysis and forecasting of variations in cryptocurrency trading volume with support vector regression tuned by Bayesian optimization under different kernels: An empirical comparison from a large dataset
Predicting student performance using sequence classification with time-based windows
Toward understanding variations in price and billing in US healthcare services: A predictive analytics approach
Crypto-ransomware detection using machine learning models in file-sharing network scenarios with encrypted traffic
KPI-related operating performance assessment based on distributed ImRMR-KOCTA for hot strip mill process
Heap-based optimizer based on three new updating strategies
Semantic segmentation of clouds in satellite images based on U-Net++ architecture and attention mechanism
A self-learning iterative weighted possibilistic fuzzy c-means clustering via adaptive fusion
Tri-staged feature selection in multi-class heterogeneous datasets using memetic algorithm and cuckoo search optimization
Intelligent detection method of low-pressure gas system leakage based on semi-supervised anomaly diagnosis
Deceptive reviews and sentiment polarity: Effective link by exploiting BERT
Intraday and interday features in the high-frequency data: Pre- and post-Crisis evidence in China’s stock market
A hybrid recommendation technique using topic embedding for rating prediction and to handle cold-start problem
A hybrid Transformer approach for Chinese NER with features augmentation
A successful candidate strategy with Runge-Kutta optimization for multi-hydropower reservoir optimization
Automated localization and severity period prediction of myocardial infarction with clinical interpretability based on deep learning and knowledge graph
An anomalous sound detection methodology for predictive maintenance
Optimizing job release and scheduling jointly in a reentrant hybrid flow shop
Monitoring and path optimization of catalytic reformer in a refinery: Principal component analysis and A* algorithm application
Reasonable object detection guided by knowledge of global context and category relationship
Multi-scale semantic deep fusion models for phishing website detection
(MF)2LS: Memetic framework with memory based fuzzy local search
An intelligent green scheduling system for sustainable cold chain logistics
Design and research of hybrid forecasting system for wind speed point forecasting and fuzzy interval forecasting
Novel data augmentation for improved insulation fault diagnosis under nonideal condition
Measuring sustainable technology R&D innovation in China: A unified approach using DEA-SBM and projection analysis
Knowledge-based prognostics and health management of a pumping system under the linguistic decision-making context
Prior wavelet knowledge for multi-modal medical image segmentation using a lightweight neural network with attention guided features
Improving the efficiency of last-mile delivery with the flexible drones traveling salesman problem
Dietary, comorbidity, and geo-economic data fusion for explainable COVID-19 mortality prediction
User-guided motion planning with reinforcement learning for human-robot collaboration in smart manufacturing
A novel visually meaningful image encryption algorithm based on parallel compressive sensing and adaptive embedding
Design of a modular neural network based on an improved soft subspace clustering algorithm
A memetic algorithm based on edge-state learning for max-cut
Novel blockchain transaction provenance model with graph attention mechanism
Order picking optimization in a robotic mobile fulfillment system
Study of a lifelong learning scenario for question answering
