Page
%P
-
Article
A novel context-sensitive attitude entropy-based multiclass segmentation method for brain MR images using enhanced flow directional algorithm
Computer vision techniques, aided by artificial intelligence, in medical image analysis, are currently encouraged for precise and speedy diagnosis of brain disorders. The brain MR image shows an intensity vari...
-
Article
Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort
The quantification of carotid plaque has been routinely used to predict cardiovascular risk in cardiovascular disease (CVD) and coronary artery disease (CAD). To determine how well carotid plaque features pred...
-
Article
CBMAFM: CNN-BiLSTM Multi-Attention Fusion Mechanism for sentiment classification
Sentiment classification, a crucial task in natural language processing, plays a significant role in deciphering sentiment expressions within textual data. In previous work, the text preprocessing method’s imp...
-
Article
A Benders decomposition approach for a new sustainable pharmaceutical supply chain network: a case study in France
Recently, sustainable supply chains have emerged to emphasize the importance of social and environmental concerns along with economic factors in supply chain management. In this context, there is a necessity f...
-
Article
An audio-based anger detection algorithm using a hybrid artificial neural network and fuzzy logic model
Audio Emotion Recognition (AER) is an important factor for Human Emotion Analysis with or without any visual aiding components. Such audio has different modular parameters, such as rhythm, tone, and pitch. How...
-
Article
CXRmark: A Watermarking Scheme for Chest X-Rays Using Online Sequential Reduced Kernel ELM
In recent times, the use of chest X-ray (CXR) images in telemedicine has increased exponentially. However, the transfer of these images on an unsecured channel poses a serious threat to their authenticity and ...
-
Article
Deep learning approaches for lyme disease detection: leveraging progressive resizing and self-supervised learning models
Lyme disease diagnosis poses a significant challenge, with blood tests exhibiting an alarming inaccuracy rate of nearly 60% in detecting early-stage infections. As a result, there is an urgent need for improve...
-
Book
-
Article
Exponential entropy-based multilevel thresholding using enhanced barnacle mating optimization
Multilevel Thresholding (MLT) is a prominent image segmentation research field that can effectively handle problems encountered while collecting meaningful information from a digital image. Most of the existin...
-
Book
-
Article
Molecular imaging analysis in cancer using deep learning: a review
Molecular imaging (MI) empowers the representation and quantitative investigation of the methodologies at molecular as well as cellular levels. It is important for the early discovery of malignant growth. This...
-
Article
Intra-graph and Inter-graph joint information propagation network with third-order text graph tensor for fake news detection
Although the Internet and social media provide people with a range of opportunities and benefits in a variety of ways, the proliferation of fake news has negatively affected society and individuals. Many effor...
-
Article
MAPA BiLSTM-BERT: multi-aspects position aware attention for aspect level sentiment analysis
Sentiment categorization at the aspect level tries to provide fine-grained sentiment polarities for distinct aspects inside a sentence. Some issues remain unresolved in the previous work. First, the specific p...
-
Article
Seizure disorders recognition model from EEG signals using new probabilistic particle swarm optimizer and sequential differential evolution
Epilepsy is a chronic seizure state of an individual. The group of brain cells reflects abnormal electrical activity. Electroencephalography (EEG) is a popular tool that monitors brain activities and diagnoses...
-
Article
Open AccessSynergy of climate change with country success and city quality of life
Most people around the world have felt the effects of climate change on their quality of life. This study sought to achieve the maximum efficiency for climate change actions with the minimum negative impact on...
-
Article
DC-CNN: Dual-channel Convolutional Neural Networks with attention-pooling for fake news detection
Fake news detection mainly relies on the extraction of article content features with neural networks. However, it has brought some challenges to reduce the noisy data and redundant features, and learn the long...
-
Article
Solving unconstrained, constrained optimization and constrained engineering problems using reconfigured water cycle algorithm
Water cycle algorithm (WCA) is a recent meta-heuristic algorithm presented to solve various optimization problems. WCA has received critical intrigued from researchers in different fields. Nevertheless, the se...
-
Article
Taylor-based optimized recursive extended exponential smoothed neural networks forecasting method
The development of a Time series Forecasting System is a major concern for Artificial Intelligence researchers. Commonly, existing systems only assess temporal features and analyze the behavior of the data ove...
-
Article
Segmentation on remote sensing imagery for atmospheric air pollution using divergent differential evolution algorithm
Air pollution is a global issue causing major health hazards. By proper monitoring of air quality, actions can be taken to control air pollution. Satellite remote sensing is an effective way to monitor global ...
-
Article
A novel nonlinear time-varying sigmoid transfer function in binary whale optimization algorithm for descriptors selection in drug classification
In computational chemistry, the high-dimensional molecular descriptors contribute to the curse of dimensionality issue. Binary whale optimization algorithm (BWOA) is a recently proposed metaheuristic optimizat...
