ETR: Enhancing transformation reduction for reducing dimensionality and classification complexity in hyperspectral images
Evolutionary convolutional neural network for efficient brain tumor segmentation and overall survival prediction
A Weakly supervised approach for thoracic diseases detection
What should lenders be more concerned about? Developing a profit-driven loan default prediction model
SeisDeepNET: An extension of Deeplabv3+ for full waveform inversion problem
FSOLAP: A fuzzy logic-based spatial OLAP framework for effective predictive analytics
A hybrid approach for Bangla sign language recognition using deep transfer learning model with random forest classifier
A military fleet mix problem for high-valued defense assets: A simulation-based optimization approach
Hybrid sentiment analysis with textual and interactive information
Benchmarking state-of-the-art imbalanced data learning approaches for credit scoring
A compression strategy for an efficient TSP-based microaggregation
Detection of audio copy-move-forgery with novel feature matching on Mel spectrogram
Development of a cyber-physical-system perspective based simulation platform for optimizing connected automated vehicles dedicated lanes
Product diffusion in dynamic online social networks: A multi-agent simulation based on gravity theory
A fast and efficient discrete evolutionary algorithm for the uncapacitated facility location problem
A two-stage estimation method based on Conceptors-aided unsupervised clustering and convolutional neural network classification for the estimation of the degradation level of industrial equipment
A systematic review of capability and maturity innovation assessment models: Opportunities and challenges
Sizing and shape optimization of truss employing a hybrid constraint-handling technique and manta ray foraging optimization
Collaboration graph for feature set partitioning in data classification
Recent trends in mathematical expressions recognition: An LDA-based analysis
A novel two-phase clustering-based under-sampling method for imbalanced classification problems
mmGesture: Semi-supervised gesture recognition system using mmWave radar
Efficient graph neural architecture search using Monte Carlo Tree search and prediction network
Object localization and edge refinement network for salient object detection
Prototype contrastive learning for point-supervised temporal action detection
Forecasting and trading credit default swap indices using a deep learning model integrating Merton and LSTMs
Batch sizing control of a flow shop based on the entropy-function theorems
Multi-objective evolutionary approach based on K-means clustering for home health care routing and scheduling problem
Interval-enhanced Graph Transformer solution for session-based recommendation
A graph structure feature-based framework for the pattern recognition of the operational states of integrated energy systems
Semantic similarity information discrimination for video captioning
Dynamic analysis and community recognition of stock price based on a complex network perspective
Critical success factors and architecture of innovation services models in data industry
Optimized hyperbolic tangent function-based contrast-enhanced mammograms for breast mass detection
A defense method against backdoor attacks on neural networks
An edge feature aware heterogeneous graph neural network model to support tax evasion detection
Optimal scheduling of electric vehicle charging operations considering real-time traffic condition and travel distance
A survey on Sign Language machine translation
Improved sine algorithm for global optimization
Training generalizable quantized deep neural nets
AI-based ICD coding and classification approaches using discharge summaries: A systematic literature review
Online continual learning via the knowledge invariant and spread-out properties
PANC: Prototype Augmented Neighbor Constraint instance completion in knowledge graphs
T2V_TF: An adaptive timing encoding mechanism based Transformer with multi-source heterogeneous information fusion for portfolio management: A case of the Chinese A50 stocks
A weighted distance-based approach with boosted decision trees for label ranking
Multimodal detection of epilepsy with deep neural networks
Learning to automatically spectate games for Esports using object detection mechanism
Multiple attentional aggregation network for handwritten Dongba character recognition
Development of an EEG artefact detection algorithm and its application in grading neonatal hypoxic-ischemic encephalopathy
A survey of smart home energy conservation techniques
Gamma function based ensemble of CNN models for breast cancer detection in histopathology images
EffViT-COVID: A dual-path network for COVID-19 percentage estimation
The multi-depot general share-a-ride problem
MACR: Multi-information Augmented Conversational Recommender
