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BEN-CNN-BiLSTM: A Model of Consequential Document Set Identification of Bengali Text
Document set identification assigns a text to its predefined text set. Therefore, the objective of any classification work is to create a model that...
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Design and Hardware Implementation of an Intelligent Industrial IoT Edge Device for Bearing Monitoring and Fault Diagnosis
Manufacturers have traditionally relied on regular maintenance and inspections to ensure the proper functioning of all technical devices, machines,...
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End-to-end design of ingestible electronics
Ingestible electronics can potentially be used to track and treat gastrointestinal diseases in real time. In the past decade, substantial...
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A Novel BiGRUBiLSTM Model for Multilevel Sentiment Analysis Using Deep Neural Network with BiGRU-BiLSTM
In multilevel sentiment classification task, there is a challenging task of limited coherence, contextual and semantic information. This paper...
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Scope and Sense of Explainability for AI-Systems
Certain aspects of the explainability of AI systems will be critically discussed. This especially with focus on the feasibility of the task of making...
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Deep Learning-Based Efficient Detection of COVID-19
COVID-19 is an infectious disease that mostly affects the lungs and can be fatal. Early detection and isolation are critical for an infected person's...
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Parametric Comparison of Deep Learning Models for Musculoskeletal Abnormality Detection
Musculoskeletal disorders are conditions that affect joints, bones, muscles, and the spine. The authors of this paper aim to investigate the use of...
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Multi-channel CNN to classify Nepali COVID-19 related tweets using hybrid features
Because of the current COVID-19 pandemic’s increasing fears among people, it has triggered several health complications such as depression and...
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Voiced Odia Digit Recognition Using Convolutional Neural Network
Speech recognition in a native language like Odia is a challenging job, particularly for handling tasks in real-life conditions. Voiced Odia digit...
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Improving Diagnostics of Pneumonia by Combining Individual Hypotheses on Chest X-Ray Images
According to the World Health Organization, pneumonia is the cause of death for 14% of children under 5 years old. One of the main tests a physician...
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Augmentation Techniques on Mammogram Images for CNN Based Breast Cancer Classification
Deep learning is now the fastest expanding area of several medical image classification and identification. Convolutional neural networks (CNN) are...
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HSADML: Hyper-Sphere Angular Deep Metric Based Learning for Brain Tumor Classification
Brain Tumors are an abnormal mass of clustered cells penetrating regions of the brain. Their timely identification and classification help doctors to...
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Brain Tumor Classification Using Convolution Neural Network
Computer-aided diagnosis system is playing a significant role in brain tumor classification. Misdiagnosis of brain tumor types will prevent patients...
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Amharic Handwritten Document Recognition using Deep Learning
Ethiopia is the only African country with its own indigenous writing styles and alphabets called Amharic alphabets. Amharic alphabets have a total of...
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Micro-expression Recognition Based on Multi-scale Attention
The main challenges in micro-expression recognition are unbalanced sample data and subtle changes in the facial area. To tackle these problems, we...
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A Review on Fish Species Classification and Determination Using Machine Learning Algorithms
About 50% of world population depend on seafood for the protein content. Because of the nature resource, illegal fishery in addition with uncultured...
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A Comprehensive Review on the Advancement of High-Dimensional Neural Networks in Quaternionic Domain with Relevant Applications
The neurocomputing communities have focused much interest on quaternionic-valued neural networks (QVNNs) due to the natural extension in quaternionic...
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Classification of New Energy Vehicle Patent Texts Based on BERT-BILSTM
The new energy vehicle (NEV) industry has been develo** rapidly in recent years, and the related patents have been growing explosively. Effective...
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Brain Hemorrhage Classification Using Leaky ReLU-Based Transfer Learning Approach
Appropriate brain hemorrhage classification is a very crucial task that needs to be solved by advanced medical treatment. Recently, various deep...
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An Overview of Text Steganalysis
With the rapid development of the Internet, network information security is progressively under menace. Text steganography is one of the key reasons...