Human activity recognition (HAR) techniques are playing a significant role in monitoring the daily activities of human life such as elderly care, investigation activities, healthcare, sports, and smart homes. Smartphones incorporated with varieties motion sensors like accelerometers gyroscopes widely used inertial that can identify different physical conditions human. In recent research, many works have been done regarding recognition. Sensor data smartphone produces high dimensional feature...

In practice, outliers, defined as data points that are distant from the other agglomerated in same class, can seriously degrade diagnostic performance. To reduce performance deterioration caused by outliers data-driven diagnostics, an outlier-insensitive hybrid feature selection (OIHFS) methodology is developed to assess subset quality. addition, a new evaluation metric created ratio of intraclass compactness interclass separability estimated understanding relationship between and outliers....

Feature selection is employed to reduce feature dimensions and computational complexity by eliminating irrelevant redundant features. A vast amount of increasing data its processing generate many sets, that are reduced the process improve performance in all sorts classification, regression, clustering models. This research performs a detailed analysis motivation concentrates on fundamental architecture selection. The study aims establish structured formation related popular methods such as...

Water-soluble carboxymethyl chitin (CMCT) 1a–b, and chitosan (CMCS) 2a–b derivatives were synthesized evaluated for antibacterial activity. The compounds characterized by Fourier transform infrared spectroscopy (FT-IR) X-ray diffraction (XRD). Thermal properties of the studied thermogravimetric analysis (TGA) their surface morphologies examined scanning electron microscopy (SEM). Antibacterial activity (CS) 2 tested against both gram-negative (Shigella flexneri, Enterococcus faecalis,...

An optimized robot path-planning algorithm is required for various aspects of movements in applications. The efficacy the model vulnerable to number search nodes, path cost, and time complexity. conventional A-star (A*) outperforms other grid-based algorithms because its heuristic approach. However, performance A* suboptimal time, space, depending on motion block (RMB). To address these challenges, this paper proposes an optimal RMB with adaptive cost function improve performance. proposed...

YouTube is one of the comprehensive video information source on web where uploading continuously in real time. It most popular site social media, users interact with sharing, commenting and rating (like/views) videos. Generally quality, relevancy popularity maintained based this rating. Sometimes irrelevant low quality videos ranked higher search result due to number views or likes, which seems untenable. To minimize issue, we present a Natural Language processing (NLP) sentiment analysis...

In this era, Human-Computer Interaction (HCI) is a fascinating field about the interaction between humans and computers. Interacting with computers, human Hand Gesture Recognition (HGR) most significant way major part of HCI. Extracting features detecting hand gesture from inputted color videos more challenging because huge variation in hands. For resolving issue, paper introduces an effective HGR system for low-cost video using webcam. proposed model, Deep Convolutional Neural Network...

Optimal feature distribution and selection are of paramount importance for reliable fault diagnosis in induction motors. This paper proposes a hybrid model with novel discriminant analysis-based evaluation method. The employs genetic algorithm- (GA-) based filter analysis to select optimal features a<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mi>k</mml:mi></mml:mrow></mml:math>-NN average classification accuracy-based wrapper approach that selects the most...

Hand gesture-based sign language recognition is a prosperous application of human– computer interaction (HCI), where the deaf community, hard hearing, and family members communicate with help device. To this paper presents non-touch word system that translates gesture into text. However, uncontrolled environment, perspective light diversity, partial occlusion may greatly affect reliability hand recognition. From point view, hybrid segmentation technique including YCbCr SkinMask developed to...

The transportation industry contributes significantly to climate change through carbon dioxide ( $$\hbox {CO}_{2}$$ ) emissions, intensifying global warming and leading more frequent severe weather phenomena such as flooding, drought, heat waves, glacier melting, rising sea levels. This study proposes a comprehensive approach for predicting emissions from vehicles using deep learning techniques enhanced by eXplainable Artificial Intelligence (XAI) methods. Utilizing dataset the Canadian...

Human Activity Recognition (HAR) using embedded sensors in smartphones and smartwatch has gained popularity extensive applications health care monitoring of elderly people, security purpose, robotics, employees the industry, others. However, human behavior analysis accelerometer gyroscope data are typically grounded on supervised classification techniques, where models showing sub-optimal performance for qualitative quantitative features. Considering this factor, paper proposes an efficient...

This article concerns smoke detection in the early stages of a fire. Using computer-aided system, efficient and may stop massive fire incident. Without considering multiple moving objects on background particles analysis (i.e., pattern recognition), models show suboptimal performance. To address this, this paper proposes hybrid segmentation an symmetrical simulation model dynamic to extract growth feature based temporal frames from video. In model, is segmented multi-moving object complex...

The rapid increase in Internet users has increased online concerns such as hate speech, abusive texts, and harassment. In Bangladesh, text Bengali is frequently used on various social media platforms to condemn abuse individuals. However, Research recognizing speech texts lacking. pervasive negative impact of individuals' well-being the urgent need for effective measures address have created a significant research gap detection field. This study suggests technique identifying posts that may...

This study investigated the effects of ultrasound and microwave their combinations on preserving quality litchi juice during 21 days storage. The physiochemical analysis exhibited that, pH Vitamin C content decreased gradually, whereas TSS, TA, color values increased over storage period. It was observed that synergistic approach sonication had positively impacted bioactive components fresh juice. results indicate total phenolic (TPC), flavonoid (TFC), antioxidant properties were changed...