360-degree video provides an immersive experience to end-users through Virtual Reality (VR) Head-Mounted-Displays (HMDs). However, it is not trivial understand the Quality of Experience (QoE) since user influenced by various factors that affect QoE when watching a in VR. This manuscript presents machine learning-based prediction VR, considering two key aspects: perceptual quality and cybersickness. In addition, we proposed new QoE-affecting factors: user's familiarity with VR interest for...

The widespread application of artificial intelligence (AI) technology in Industry 4.0 can improve the work efficiency doctors and help more patients. direction AI pharmaceutical logistics be roughly divided into two types: First, empowers intelligent devices, second, it improves labor through software systems. This article summarizes digital development industry United States, European Union, Japan, analyzes current status shortcomings Pakistan’s industry, proposes strategies for...

Background: Musculoskeletal complications of diabetes have been generally ignored and poorly treated as comparedto other complications. Hence we carried out this study to find the prevalence musculoskeletal manifestations indiabetes mellitus its relation with age, gender control diabetes. Materials methods: In present 100 patients Diabetes Mellitus (DM) were studied. This was a cross sectional observational in Physical medicine Rehabilitation Out Patient Department (OPD) Chattagram...

360-degree Virtual Reality (VR) videos have already taken up viewers’ attention by storm. Despite the immense attractiveness and hype, VR conveys a loathsome side effect called “cybersickness” that often creates significant discomfort to viewers. It is of great importance evaluate factors induce cybersickness symptoms its deterioration on end user’s Quality-of-Experience (QoE) when visualizing in VR. This manuscript’s intent subjectively investigate high priority affect QoE terms perceptual...

Marketing campaigns that promote and market various consumer products are a well-known strategy for increasing sales awareness. This simply means the profit of manufacturing unit would increase. "Neuromarketing" refers to use unconscious mechanisms determine customer preferences decision-making behavior prediction. In this work, predictive modeling method is proposed recognizing product online (E-commerce) as “Likes” “Dislikes”. Volunteers ages were exposed variety products, their EEG...

The digital market trend is rapidly expanding due to key characteristics like decentralization, accessibility, and diversity enabled by blockchain technology. This study proposes a Predictive Analytics System provide simplified reporting for the three most popular cryptocurrencies with varying digits, namely ADA Cardano, Ethereum, Binance coin, ten days contribute this emerging Thus, proposed system employs data science-based framework six highly advanced data-driven Machine learning Deep...

Current extended virtual reality (VR) applications use 360-degree video to boost viewers' sense of presence and immersion. The quality experience (QoE) effectiveness in VR has often been related many aspects. four significant aspects take into account when evaluating QoE the are a immersion, acceptability, judgment, attention captivated. In this manuscript, we subjectively investigate impact videos QoE-affecting factors, including quantization parameters (QP), resolutions, initial delay,...

With an immense increase in Internet multimedia applications over the past few years, digital content such as images are stored and shared global networks, probability for information leakage illegal modifications to is at high risk. These transferred using network bandwidth; therefore, secure encryption schemes facilitate both security bandwidth issues. Hence, a state-of-the-art lightweight methodology required address this challenge. The main objective of work develop nonlinear mechanism...

Modern medical devices are equipped with radio communication chips enabling practitioners to remotely and continuously monitor patient's health. The conjunction of these the their internet connectivity exposes them security privacy risks. insulin pump system is an autonomous, wearable external device, commonly used by diabetic patients take efficiently, as compared manual injection through a syringe. Security attacks may disrupt working delivering lethal dose endanger lives. In this paper,...

The interest in Facial Expression Recognition (FER) is increasing day by due to its practical and potential applications, such as human physiological interaction diagnosis mental disease detection. This area has received much attention from the research community recent years achieved remarkable results; however, a significant improvement required spatial problems. work presents novel framework proposes an effective robust solution for FER under unconstrained environment; it also helps us...

With the development and popularity of virtual reality (VR) 360 panoramic videos with head mounted display (HMD), user satisfaction is very significant as compared to other important end quality service. To improve Quality Experience (QoE) video, profile needs be analyzed. The analysis can provide vital information service providers which help them deal their resources capably, by evaluating users behaviour expectation. In this paper, we conduct a subjective test propose method investigate...

Violence detection holds immense significance in ensuring public safety, security, and law enforcement various domains. With the increasing availability of video data from surveillance cameras social media platforms, need for accurate efficient violence algorithms has become paramount. Automated systems can aid agencies identifying responding to violent incidents promptly, thereby preventing potential threats protection. This research focuses on large databases, proposing two keyframe-based...

Automatic facial expression recognition is an emerging field. Moreover, the interest has been increased with transition from laboratory-controlled conditions to in wild scenarios. Most of research done over nonoccluded faces under constrained environment, while automatic less understood/implemented for partial occlusion real world conditions. Apart that, our aims tackle issues overfitting (caused by shortage adequate training data) and alleviate expression-unrelated/intraclass/nonlinear...

Currently, there has been significant attention towards 360-degree videos delivery and immersive technology like Virtual Reality (VR). Streaming 360° video in tile-based method faces stalling border effect of mixed bitrate tile due to small playback buffer spatial partition with different bitrates respectively, which tend deteriorates the end users Quality Experience (QoE) significantly. In this paper, we study impact various events occurs VR on QoE virtual reality. We also investigate...

A feature extraction method for Facial Expression Recognition Systems is proposed based on Spectral Supervised Canonical Correlation Analysis. For proper classification of expression it has been trained with Rethinking recurrent neural network. The Cohn Kanade Extensive and JAFFE databases are used in this paper. images have preprocessed using image normalization then contrast limited adaptive histogram equalization to remove the illumination variance noises. After down-sampling, dimensions...

A feature extraction method for Facial Expression Recognition Systems is proposed based on CCA using FMEDA and DPA. For proper classification of expression it has been trained with Recurrent neural network. The Cohn Kanade Extensive, ORL Yale databases are used in this paper. images have preprocessed image normalization then contrast limited adaptive histogram equalization to remove the illumination variance noises. After down-sampling, dimensions factor data provided Canonical Correlation...

Expression recognition is an important direction for computers to understand human emotions and aspect of human-computer interaction. refers the selection expression state from a still photo or video sequence determine emotional psychological changes character.Spectral Supervised Canonical Correlation Analysis has been used Feature extraction. For proper classification VGG119 softmax used. Facial variations such as redundant information in image, illumination variance overfitting have...