Search
Search Results
-
Adaptive isomap feature extractive gradient deep belief network classifier for diabetic retinopathy identification
Diabetic retinopathy (DR) is an infection that bases eternal visualization loss in patients with diabetes mellitus. With DR, the glucose level in the...
-
Research and implementation of adaptive stereo matching algorithm based on ZYNQ
Stereo matching is an important method in computer vision for simulating human binocular vision to acquire spatial distance information. Implementing...
-
A Robust Extreme Learning Machine Based on Adaptive Loss Function for Regression Modeling
The extreme learning machine (ELM) algorithm is advantageous to regression modeling owing to its simple structure, fast computation, and good...
-
Adaptive infinite impulse response system identification using an enhanced golden jackal optimization
Golden jackal optimization (GJO) is inspired by the cooperative attacking behavior of golden jackals and mainly simulates searching for prey,...
-
Fluorescence microscopy image noise reduction using IEMD-based adaptive thresholding approach
Fluorescence microscopy is an important investigation tool for discoveries in the field of biological sciences. In this paper, we propose an adaptive...
-
Multi-lingual character segmentation and recognition based on adaptive projection profiles and composite feature vectors
In recent years, multi-lingual character segmentation and recognition has attracted the wide range of researchers. However, the variations in the...
-
Adaptive recurrent nonnegative matrix factorization with phase compensation for Single-Channel speech enhancement
The speech signals are affected by the background noise distortion that is unfavorable to both the intelligibility as well as the speech quality....
-
An adaptive rejuvenation of bacterial foraging algorithm for global optimization
Bacterial foraging algorithm (BFA) is a novel nature-inspired algorithm that mimics the social foraging behavior of E. coli . Bacteria. However, it...
-
An adaptive bivariate decomposition method for interval optimization problems with multiple uncertain parameters
A novel interval optimization method based on an adaptive bivariate decomposition algorithm is developed to solve the engineering uncertain...
-
Non-linear weight adjustment in adaptive gamma correction for image contrast enhancement
Image enhancement remains an intricate problem, crucial for image analysis. Several algorithms exist for the same. A few among these algorithms...
-
A Hybrid Medical Image Denoising Based on Block Matching 3D Collaborative Filtering
To mitigate the noise effects without information loss at the edges of the radiological images, a well-designed preprocessing algorithm is required...
-
Hybrid CGAN-based plant leaf disease classification using OTSU and surf feature extraction
Agriculture encompasses a way of life and a profession for the general population. Most global traditions and cultures revolve around agriculture....
-
Hybrid Features Enabled Adaptive Butterfly Based Deep Learning Approach for Human Activity Recognition
Human activity recognition framework is facing many challenges and issues that are promoting the development of a new activity recognition system to...
-
Fractional-order Differintegral based multiscale Retinex inspired texture dependent quality enhancement for remotely sensed images
Non-integer orders for fractional differintegral based adaptive filtering are very useful for addressing the various levels of textural...
-
Uniformly constrained reinforcement learning
We propose new multi-objective reinforcement learning algorithms that aim to find a globally Pareto-optimal deterministic policy that uniformly (in...
-
Depth from Focus using Windowed Linear Least Squares Regressions
We present a novel depth from focus technique. Following prior work, our pipeline starts with a focal stack and an estimation of the amount of...
-
A review on self-adaptation approaches and techniques in medical image denoising algorithms
Noise is a definite degeneration of medical images that interferes with the diagnostic process in clinical medicine. Although many denoising...
-
Decomposed intrinsic mode functions and deep learning algorithms for water quality index forecasting
The water quality index (WQI) serves as a global representation of river water quality (WQ). Existing studies related to the WQI have mainly focused...
-
UD-GCN: Uncertainty-Based Semi-supervised Deep GCN for Imbalanced Node Classification
Fraud detection, especially graph-based approaches, has received increasing attention in recent years because graph structures can fully represent...
-
A novel Venus’ visible image processing neoteric workflow for improved planetary surface feature analysis
The article presents a novel methodology that comprises of end-to-end Venus’ visible image processing neoteric workflow. The visible raw image is...
