COVID-19 has affected all peoples' lives. Though is on the rising, existence of misinformation about virus also grows in parallel. Additionally, spread created confusion among people, caused disturbances society, and even led to deaths. Social media central our daily The Internet become a significant source knowledge. Owing widespread damage by fake news, it important build computerized systems detect news. paper proposes an updated deep neural network for identification false learning...

Feature Selection (F.S.) reduces the number of features by removing unnecessary, redundant, and noisy information while keeping a relatively decent classification accuracy. F.S. can be considered an optimization problem. As problem is challenging there are many local solutions, stochastic algorithms may beneficial. This paper proposes novel approach to dimension reduction in feature selection. seminal attempt, this work uses binary variants recent Marine Predators Algorithm (MPA) select...

Tasks involving the monitoring of fish farms such as controlling ponds is one expensive and difficult tasks for farmers. Usually, farmers are doing these manually which costs them time money. We propose a system that automates farm. This paper presents technique to enhance detection their trajectories in challenging water conditions. Firstly, we used image enhancement techniques unclear images better identify fish. Then, applied an object algorithm detect Finally, detected objects’...

In comparison to the competitors, engineers must provide quick, low-cost, and dependable solutions. The advancement of intelligence generated by machines its application in almost every field has created a need reduce human role image processing while also making time labor profit. Lepidopterology is discipline entomology dedicated scientific analysis caterpillars three butterfly superfamilies. Students studying lepidopterology generally capture butterflies with nets dissect them discover...

Negotiation is a core activity between stakeholders with different goals. This paper offers solution based on the automated bilateral negotiation model using recent meta-heuristic algorithm Owl Search Algorithm (OSA), and chaos theory. The proposed called Chaotic (COSA). used to adapt strategies for computing throughout process. For this aim, grasped two parties during several rounds. results of compared standard OSA, PSO most common tactics. Different control parameters considered accurate...

Signature verification and forgery detection is a challenging field with lot of critical issues. Signatures drives cooperates business organizations to huge financial loss also affects their security reputation. Highly accurate automatic systems are needed in order prevent this kind crimes. This paper introduce an off-line system for signature detection. Different features were extracted effect on recognition ability was reported. The computed include run length distributions, slant...

Karate is a martial art that can be practiced using hands and feet to deliver block strikes. moves must done in certain way, many are incorrectly during training. In this paper, we present fully functional system which players, coaches, judges clubs could use. The helps capturing Kinect v2 sensor analyzing these F-DTW. Real-time feedback report displayed the users simple GUI (Graphical User Interface) easily use, learn how mistake was made, fix it/learn from it. F-DTW used for proving...

Table tennis is a complex sport with distinctive style of play. Due to the rising interest in this past years, attempts have been targeted towards enhancing training experience and quality through various techniques. Technology has used support sessions for table players before, focus on players' performance measures rather than technique. In paper, we propose methodology based IR depth camera detecting classifying efficiency strokes performed by order enhance experience. Our system...

Monitoring fish farms as controlling water quality and abnormal behaviors inside pond are one of the most costly difficult task to do for farmers. Fish farmers normally these tasks manually, which requires them dedicate lots time money. Way detecting is presented in this paper by identifying analyzing their trajectories a environment. First all, we used an image enhancement algorithm color-enhance pictures enhance detection. We then object detection identify fish. Finally, classification...

Smart coaching in martial arts is one of the recent research areas Human Motion Analysis. Numerous moves are performed incorrectly during performance. In this paper we offer a system that will record Players' movements using IR (Infrared) camera sensor, store data database, pre-process data, classify F-DTW (Fast Dynamic Time Warping) and then show users an accurate report contains every movement player had done, their mistakes how to improve performance next time. This approach focuses on...

Table tennis game is based on the speed of player's response to different attacks and defense strokes.A way enhance performance technique while training update player with mistakes in real-time.This paper presents a system that focuses detecting correct wrong strokes within following stroke types: Forehand drive, backhand forehand topspin.By usage Augmented Reality, helps players get their results direction easily using AR-based mobile application when practicing real-time.A usability study...

Twitter integrates with streaming data technologies and machine learning to add new value healthcare. This paper presented a real‐time system predict breast cancer based on patient’s health from Twitter. The proposed consists of two major components: developing an offline building model online prediction pipeline. For the first component, we made correlation between features determine reduce number Breast Cancer Wisconsin Diagnostic dataset. Two feature selection algorithms are recursive...

The forgery of certificates is a long-term problem in the academic community Egypt. It has become common to get fake certificate, that claims an individual graduated from public/private university, and apply for jobs easily be considered as qualified someone who legit certificate. Blockchain, which known its reliability trust, used solution problem. proposed system aims at creating digital Egyptian higher education This enables tracking student's certificates; hence, organizations...

The research presented in this paper aims at improving the accuracy of land-use maps produced from classification Landsat images mega cities developing countries. In other words, main objective is to find a suitable post technique that gives optimum results for To reach our goal, presents two TM-Landsat sub scenes using traditional statistical classifier (Maximum Likelihood) into four land cover classes (vegetation-water-Desert-Urban); then assessment land-cover map will be calculated....

Musculoskeletal disorders (MSD) are one of the leading health concerns. Automatic recognition systems for MSD detection and diagnosis from radio-graphs would be highly beneficial supporting radiologists' task. A new automatic system is introduced specialized in diagnosing different Elbow-disorders. It a cloud-based application attached to labelled cloud database. Labelling dataset achieved by expert radiologist. comparative study provided record effect features classifiers on accuracy.

Researches on Road Extraction are incessant. Theses researches aims at the automatic identification of remote sensing images. The way to extract roads quickly, accurately and automatically has been a cutting-edge problem in related fields, since availability high spatial resolution images from new generation commercial sensors. In this paper, we present novel road extraction approach which uses Cellular neural Network. makes full use spectral geometric properties imagery, proposes Framework...

Assisting table tennis coaching using modern technologies is one of the most trending researches in sports field. In this paper, we present a methodology to identify and recognize wrong strokes executed by players improve training experience usage an IR depth camera. The proposed system focuses mainly on errors player's evaluating them efficiently based analysis classification data obtained from camera multiple algorithms. This paper continuation our previous work [10], focusing more...

Advancements in technology have significantly changed how we interact on social media platforms, where reviews and comments heavily influence consumer decisions. Traditionally, opinion mining has focused textual data, overlooking the valuable insights present customer-uploaded images—a concept term Multus-Medium. This paper introduces a multimodal strategy for product recommendations that utilizes both text image data. The proposed approach involves data collection, preprocessing, sentiment...

Automatic Recognition of Musculoskeletal Disorders is one the important applications computers in clinical medicine. Radiographs must be classified as normal or abnormal. There a critical need for fast and inexpensive but reliable automatic classification systems should satisfied. It desired to discriminate between various types musculoskeletal disorders. Different approaches have been proposed recently field pattern-recognition. Our paper introduces detailed survey on up-to-date published...

Every year business is overwhelmed by the quantity and variety of data. Visualization Multi-dimensional data counter-intuitive using conventional graphs. Parallel coordinates are proposed as an alternative to explore multivariate more effectively. However, it difficult extract relevant information through parallel when with thousands lines overlapping. The order axes determines perception on coordinates. This paper proposes three new techniques in arrange most significant relation between...