An Efficient Multispectral Images Compression Technique Simultaneous denoising and compression of multispectral images Multispectral image compression with band ordering and wavelet transforms The effect of lossy compression on feature extraction applied to satellite Landsat ETM+ images Ear recognition using a novel feature extraction approach HyperCast: hyperspectral satellite image broadcasting with band ordering optimization Satellite multispectral image compression based on removing sub-bands Satellite images broadcast based on wireless softcast scheme Potential influence of information systems on bank risk Distributed Coding and Transmission Scheme for Wireless Communication of Satellite Images Lossy compression of satellite images with low impact on vegetation features Hyperspectral image coding and transmission scheme based on wavelet transform and distributed source coding Learning LogDet divergence for ear recognition The Effects of JPEG2000 on Ear Recognition System Metric learning with dynamically generated pairwise constraints for ear recognition A hybrid model combining learning distance metric and DAG support vector machine for multimodal biometric recognition Remote sensing image scene classification using CNN-MLP with data augmentation A novel approach for ear recognition: learning Mahalanobis distance features from deep CNNs A very high-resolution scene classification model using transfer deep CNNs based on saliency features Dual link distributed source coding scheme for the transmission of satellite hyperspectral imagery Handwritten chemical formulas classification model using deep transfer convolutional neural networks Heart-Disease Prediction Method Using Random Forest and Genetic Algorithms Forecasting of the American Digital Economy Using ARIMA Model A Hybrid Bidirectional LSTM and 1D CNN for Heart Disease Prediction A hybrid GA and PSO optimized approach for heart-disease prediction based on random forest COVID-19 Crisis: Forecasting the Arab World Economy Performance Using the ARIMA Model How Has the COVID-19 Pandemic Affected GDP Growth?-Empirical Study on USA and China- A Remote Sensing Scene Classification Model Based on EfficientNet-V2L Deep Neural Networks RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images On the Co-Selection of Vision Transformer Features and Images for Very High-Resolution Image Scene Classification Extracting feature fusion and co-saliency clusters using transfer learning techniques for improving remote sensing scene classification Efficient algorithms for compression and classification of brain tumor images