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ISSN: 2666-3074

A review of the application of deep learning in the detection of Alzheimer's disease

•Alzheimer's disease (AD) detection using deep learning was reviewed.•Patch based and ROI based feature extraction methods are used most frequently and effectively.•Preprocessing technology is key to...

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Contact-free wheat mildew detection with commodity wifi

•We verify the feasibility of using WiFi CSI amplitude information for wheat mildew detection. To the best of our knowledge, this is the first work that uses WiFi based RF sensing for wheat mildew detection.•We...

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Deep learning based assistive technology on audio visual speech recognition for hearing impaired

•Assistive technology on speech to text conversion for hearing impaired students.•Performance of the system boost using multi modal features.•Lip reading architecture capture visual speech recognition.•Deep...

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On the existence of {K1,1,K1,2,Ct}-factor—From high-dimensional space perspective

In recent years, the relationship between network graph parameters and the existence of specific H-factor has attracted the attention of researchers. The latest research has found that for factor deleted...

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A three-stage ensemble boosted convolutional neural network for classification and analysis of COVID-19 chest x-ray images

•A three-stage ensemble boosted convolutional neural network model is applied for identification and classification of COVID-19.•CNN model is employed to extract the features from the training dataset...

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Application of machine learning based algorithm for prediction of malnutrition among women in Bangladesh

•Determine the prevalence of malnutrition among women in Bangladesh.•Identification of the risk factors of malnutrition using logistic regression.•Prediction of malnutrition based on machine learning...

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A novel hybrid methodology for computing semantic similarity between sentences through various word senses

In the area of natural language processing, measuring sentence similarity is an essential problem. Searching for semantic meaning in natural language is a related issue. The task of measuring sentence...

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An adaptive bitonic filtering based edge fusion algorithm for Gaussian denoising

•Adaptive edge fusion based denoising algorithm is proposed.•Elevated level of performance is demonstrated in PSNR.•Hybrid domain is computationally efficient while preserving edge information....

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Exploring generative adversarial networks and adversarial training

•Generative Adversarial Networks (GANs) are notorious to train. Research has been conducted in various angles to address the challenges.•Classifiers or Discriminators are susceptible to adversarial...

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Fake News Classification using transformer based enhanced LSTM and BERT

•Fake News has been a concern all over the world and social media has only amplified this phenomenon and it has been affecting the world on a large scale as these are targeted to sway the decisions...

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Classification of Indian media titles using deep learning techniques

•The goal of the paper is to identify the language of Indian media titles (Song names, movie titles) for automatic speech recognition training data.•Transliterated data of songs and movie titles were...

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COVID vision: An integrated face mask detector and social distancing tracker

The effects of the global pandemic are wide spreading. Many sectors like tourism and recreation have been temporarily suspended, but sectors like construction, development and maintenance have not been...

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Study of image fusion optimization techniques for medical applications

•Multimodal medical image fusion technologies are used to combine information from many images to create a more useful image.•Fusion of multimodal medical images by pulse coupled neural networks with...

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Evolutionary trends in progressive cloud computing based healthcare: Ideas, enablers, and barriers

•Cloud computing is one of the significant facilitators of the health information revolution in the healthcare.•This technology establishes standard accessible hardware for diverse healthcare applications...

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A Simulated Dataset in Aerial Images using Simulink for Object Detection and Recognition

•Creation of a dataset in Simulink for quadcopter-based flight control.•Detailed description of MATLAB based Simulink block.•A credible simulation model of drones is simulated by enforcing customizations.•A...

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1D Convolution approach to human activity recognition using sensor data and comparison with machine learning algorithms

•Novel 1D convolutional neural network model for Human Activity Recognition proposed.•Performance analysis of the classical ML models.•Classical ML models compared with proposed model.•SVM and 1D convolution...

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Affective state and learning environment based analysis of students’ performance in online assessment

•Paper identifies effect of various factors on performance of students.•Sleep hours and energy level had no effect on the performance.•Mood and time of day had an impact on students' performance.•Analysis...

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Medical image fusion method by deep learning

•Deep learning models can extract the most effective features automatically from data to overcome the difficulty of manual design. In this paper, deep learning model is intended to be introduced into...

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Facial expression recognition via ResNet-50

•We propose a deep residual network ResNet-50 for facial expression recognition.•Convolution operation is used to extract features and pooling is used to reduce dimension of features.•BN and activation...

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Gray level co-occurrence matrix and extreme learning machine for Alzheimer's disease diagnosis

lIn this paper, we effectively combined the gray level co-occurrence matrix and the extreme learning machine to carry out automatic diagnosis of AD.lIn order to avoid the phenomenon of over-fitting,...

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Developing bug severity prediction models using word2vec

•Developing a semi-automated bug prediction model to assist developers in the analysis of bug severity levels.•Empirical evaluation of the effect of using word embedding (word2vec) on the performance...

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Cognitive impact validation of requirement uncertainty in software project development

•The objective of this paper is to identify the relationships between uncertain requirements and other important parameters. Furthermore, the impact relationship between uncertain requirements and other...

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Predicting microbial response to anthropogenic environmental disturbances using artificial neural network and multiple linear regression

•Unsupervised learning approach was explored for growth profile prediction of Klebsiella sp.•The model frameworks of ANN and MLR were designed to support predictive microbiology experiments.•The performance...

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An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier

•World Health Organization (WHO) reported globally that adult diabetes patients have nearly doubled since 1980, rising from 4.7% to 8.5%. In 2012, 1.5 million people died due to diabetes.•The early...

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DDCNNC: Dilated and depthwise separable convolutional neural Network for diagnosis COVID-19 via chest X-ray images

•A novel framework – Depthwise separable Convolutional Neural Network (DCNN) – is proposed, and we tested three configurations, viz., using LeNet-5, VGG-16, and ResNet-18 as backbones.•A novel framework...

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