Developing an Offline and Real-Time Indian Sign Language Recognition System with Machine Learning and Deep Learning
Sign language is a powerful form of communication for humans, and advancements in computer vision systems are driving significant progress in sign language recognition. In the context of Indian sign language (ISL), early research focused on ...
A Novel and Efficient Spatial–Temporal Saliency-Driven Integrated Video Compression
High-definition devices require the HD-videos for their proper utilization; however, it comprises several issues while transmission such as high computational complexity, long encoding time and restricted battery power. Moreover, several video ...
Classification of Thyroid Using Data Mining Models: A Comparison with Machine Learning Algorithm
Thyroid is a common disorder spreading worldwide and moreover, the middle-aged peoples are affecting especially. Thyroid Disorder increasing today’s upcoming life style in India. Compared to the various study and found million peoples were ...
An Energy-Efficient and QoS-Preserving Hybrid Cross-Layer Protocol Design for Deep Learning-Based Air Quality Monitoring and Prediction
Cross-layer design countenances protocols belonging to diverse layers to collaborate and share network status information which ensures that contemporary route is optimal. Extremely reliable communication with least energy consumption can be ...
System Thinking in Gamification
People spend a lot of time and energy playing videogames (Kapp in The gamification of learning and instruction: game-based methods and strategies for training and education. Pfeiffer an imprint of Wiley, San Francisco, 2012), and as a result, ...
The Human Digi-real Duality
Current technologies allow acquiring whatever amount of data (even big data), from whatever system (object, component, mechanism, network, implant, machinery, structure, asset, etc.), during whatever time lapse (secs, hours, weeks, years). ...
A survey on Motion Artifact Correction in Magnetic Resonance Imaging for Improved Diagnostics
Motion artifacts occur in magnetic resonance imaging (MRI) due to the motion or movement of the object being scanned. Motion artifacts can have various origins such as voluntary or involuntary patient movement, faulty components, improper software ...
GrassCaré: Visualizing the Grassmannian on the Poincaré Disk
This paper introduces a novel method for visualizing high-dimensional Grassmannians through 2D embeddings on the Poincaré disk. The proposed approach involves the construction of affinity matrices on each manifold, followed by the minimization of ...
A Hybrid-SFLA-Based Hyper-Parameter Tuning Algorithm in SVR for Exchange Rate Prediction
This paper proposes a hybrid machine learning-based approach to forecast the exchange rate between the Indian Rupee and the US dollar. The prediction of the exchange rate is carried out by support vector regression (SVR) and a hybrid-shuffled frog ...
Vision-Based Indoor Corridor Localization via Smartphone Using Relative Distance Perception and Deviation Compensation
Nowadays, the determination of the indoor position has become a hot issue in industry and academia as it is fundamental for many applications and services. Thanks to the pervasive availability of smartphones, a plethora of indoor navigation ...
An LSTM-Based Method for Automatic Reliability Prediction of Cognitive Radio Vehicular Ad Hoc Networks
Reliability is a critical issue in vehicular networks. A deep learning (DL) method is proposed in this study to automatically predict the reliability of cognitive radio vehicular networks (CR-VANETs) ignored in the previous research. First, a ...
Seeing is Learning in High Dimensions: The Synergy Between Dimensionality Reduction and Machine Learning
High-dimensional data are a key study object for both machine learning (ML) and information visualization. On the visualization side, dimensionality reduction (DR) methods, also called projections, are the most suited techniques for visual ...
Efficient 3D Path Planning for Drone Swarm Using Improved Sine Cosine Algorithm
Path planning is one of the most important steps in the navigation and control of swarm of drones. It is primarily concerned with avoiding collision among drones and environmental obstacles while determining the most efficient flight path to the ...
Pistol: Pupil Invisible Supportive Tool in the Wild
This paper is an in the wild evaluation of the eye tracking tool Pistol. Pistol supports Pupil Invisible projects and other eye trackers (Dikablis, Emke GmbH, Look, Pupil, and many more) in offline mode. For all eye tracking recordings, Pistol is ...
A DNA Cryptosystem Using Diffie–Hellman Key Exchange
DNA cryptography is a method of concealing information in the form of DNA sequence. It is growing in popularity as a result of its quicker performance and low storage and power requirements. Despite its advantages, employing DNA cryptography ...
CRDNN-BiLSTM Knowledge Distillation Model Towards Enhancing the Automatic Speech Recognition
Numerous automatic speech recognition (ASR) models have been developed in recent years, but they suffer from the drawback of being large models that take more time to train and are difficult to deploy on devices. Knowledge distillation has been ...
Efficient Segmentation of Vessels and Disc Simultaneously Using Multi-channel Generative Adversarial Network
Two-dimensional pictorial representation of the rear part of human eye furnish diagnostic information about blood vessels, optic disc, and macula. Among these features vessel analysis at disc provides quantitative diagnostic information about ...
Enhancement in Smart Operation of Greenhouse Environment Using Intelligent Biomimetic Control Framework
The greenhouse is a complex nonlinear system, which provides a suitable growing environment for plants. Realizing a comprehensive control for such systems is more challenging in the premise of the presence of model parameter uncertainties and ...
Hybrid ACO-CI Algorithm for Beam Design Problems
The complexity of real-world problems motivates the development of several optimization algorithms. In this paper, a novel hybrid metaheuristic algorithm is presented by combining the complementary properties of a swarm-based Ant Colony ...
Real-Time-Based Blood Wastage Management Using IoT and Blockchain Technology
The rapid shift in population density increased the need for blood in medical treatments, emphasizing the importance of appropriate blood supply chain management. Most countries have institutions that run centralized blood management information ...
An Intelligent Flood Prediction System Using Deep Learning Techniques and Fine Tuned MobileNet Architecture
A flood can cause significant damage and loss of life and economic disruption. Early warning and accurate forecasting of such disasters can help minimize the effects of these natural disasters by helping with evacuation plans and allocation of ...
Machine-Learning-Based Accessibility System
Accessing the internet presents considerable difficulties for those with impairments. They frequently have physical constraints that prevent them from using conventional input devices like a mouse or keyboard. However, without the use of ...
Detection of Lung Diseases for Pneumonia, Tuberculosis, and COVID-19 with Artificial Intelligence Tools
Chest X-ray imaging is a low-cost, easy way to diagnose lung abnormalities caused by infectious diseases such as COVID-19, pneumonia, or tuberculosis. The primary objective of the study is to carefully analyse and evaluate several classification ...
A Bird’s Eye View of Near Field Communication Technology: Applications, Global Adoption, and Impact in Africa
Owing to the ease and efficiency of contactless communication between intelligent devices, near-field communication (NFC), a wireless communication technology, is attracting the attention of customers. In today’s world, NFC is useful for mobile ...
Soundtrack Success: Unveiling Song Popularity Patterns Using Machine Learning Implementation
Music streaming services are getting increasingly popular as a result of the prevalent need for web and smart gadgets. Melophiles are drawn toward a range of musical genres and create a unique digital footprint. The emotional reactions of the ...
Lightweight Convolutional Neural Network Model for Cassava Leaf Diseases Classification
The world population has increased many folds in the last few years and crossed the figure of 7 billion. Africa has the highest population growth rate. Food and water are the first and foremost necessities for the survival of living beings. ...
Development of a Filipinized Learning Management System
- Rita C. Ramos,
- Primo Garcia,
- Queenie Roxas-Ridulme,
- Ria Valerie Cabanes,
- Hanna May Rosario,
- Marie Karen Enrile,
- Ronaldo De Jesus,
- Cariza Dolliente,
- Adrian Sandoval
The problem of internet connectivity in the Philippines has added a heavy burden to the online learning environment and the use of learning management systems by the nursing educational sector. Thus, the researchers developed the Filipinized ...
Optimization Algorithm for Efficient Channel Assignment and Performance Enhancement of Wireless Networks
In the recent past, the frequency distribution in wireless networks was known to be a major issue that resulted in the unfair utilization of wireless channels. The channel assignment becomes extremely complex due to the restricted number of ...