The advancement of Deep Learning and Computer Vision in the field agriculture has been found to be an effective tool detecting harmful plant diseases. Classification detection healthy diseased crops play a very crucial role determining rate quality production. Thus present work highlights well-proposed novel method Tomato leaf diseases using Neural Networks strengthen agro-based industries. framework is utilized with combination classical Machine model Principal Component Analysis (PCA)...

Abstract Due to the wide availability of easy-to-access content on social media, along with advanced tools and inexpensive computing infrastructure, has made it very easy for people produce deep fakes that can cause spread disinformation hoaxes. This rapid advancement panic chaos as anyone easily create propaganda using these technologies. Hence, a robust system differentiate between real fake become crucial in this age media. paper proposes an automated method classify images by employing...

Abstract Pakistan falls significantly below the recommended forest coverage level of 20 to 30 percent total area, with less than 6 its land under cover. This deficiency is primarily attributed illicit deforestation for wood and charcoal, coupled a failure embrace advanced techniques estimation, monitoring, supervision. Remote sensing leveraging Sentinel-2 satellite images were employed. Both single-layer stacked temporal layer from various dates utilized classification. The application an...

In recent decades, automatic vehicle classification plays a vital role in intelligent transportation systems and visual traffic surveillance systems. Especially countries that imposed lockdown (mobility restrictions help reduce the spread of COVID-19), it becomes important to curtail movement vehicles as much possible. For an effective system, is essential detect from images classify into different types (e.g., bus, car, pickup truck). Most existing research studies focused only on...

Internet of Things (IoT) is a domain where the transfer big data taking place every single second. The security these challenging task; however, challenges can be mitigated with cryptography and steganography techniques. These techniques are crucial when dealing user authentication privacy. In proposed work, highly secured technique using IoT protocol steganography. This work proposes an image procedure by utilizing combination various algorithms that build secret Binary bit-plane...

Forest fires are a significant threat to the ecological system’s stability. Several attempts have been made detect forest using variety of approaches, including optical fire sensors, and satellite-based technologies, all which unsuccessful. In today’s world, research on flying ad hoc networks (FANETs) is thriving field can be used successfully. This paper describes unique clustering approach that identifies presence zone in transfers sensed data base station as soon feasible via wireless...

This paper aims to describe and evaluate the proposed calibration model based on a neural network for post-processing of two essential meteorological parameters, namely near-surface air temperature (2 m) 24 h accumulated precipitation. The main idea behind this work is improve short-term (up 3 days) forecasts delivered by global numerical weather prediction (NWP) called ECMWF (European Centre Medium-Range Weather Forecasts). In comparison existing local models that typically provide limited...

Abstract Satellite Image classification provides information about land use cover (LULC) and this is required in many applications such as Urban planning environmental monitoring. Recently, deep learning techniques were applied for satellite image achieved higher efficiency. The existing have limitations of overfitting problems due to the convolutional neural network (CNN) model generating more features. This research proposes optimal guidance-whale optimization algorithm (OG-WOA) technique...

The explainable human–computer interaction (HCI) is about designing approaches capable of using cognitive characteristics like humans. One such characteristic human vision and its accuracy. accuracy measures the trust in that system. Therefore, improving authorization with identification process a primary concern for visual-based In this article, we propose three-way decision based ensembled face recognition mechanism called E3FRM. E3FRM uses approach to determine match cases respective...

ABSTRACT Information Centric Networking (ICN), a paradigm shift in network design that prioritizes content distribution over host‐centric methods, arises this dynamic environment. Integrating built‐in caches into ICN is essential for optimizing effectiveness, which raises hit rates, boosts throughput, and lowers transmission delays. This paper provides comprehensive exploration classification of caching strategies across diverse domains, including the Internet Things (IoT), Vehicles (IoV),...

Ever since the pandemic of Coronavirus disease (COVID-19) emerged in Wuhan, China, it has been recognized as a global threat and several studies have carried out nationally globally to predict outbreak with varying levels dependability accuracy. Also, mobility restrictions had widespread impact on people's behavior such fear using public transportation (traveling unknown passengers closed area). Securing an appropriate level safety during situation is highly problematic issue that resulted...

Abstract In Brain Computer Interface (BCI), achieving a reliable motor‐imagery classification is challenging task. The set of discriminative and relevant feature vectors plays crucial role in classification. this article, an enhanced optimization technique implemented for selecting active to enhance using Electroencephalography (EEG) signals. After collecting the input EEG signals from BCI competition III‐4a IV‐2a databases, 6th‐order butter‐worth filter employed eliminating base‐line wander...

COVID-19 has depleted healthcare systems around the world. Extreme conditions must be defined as soon possible so that services and treatment can deployed intensified. Many biomarkers are being investigated in order to track patient's condition. Unfortunately, this may interfere with symptoms of other diseases, making it more difficult for a specialist diagnose or predict severity level case. This research develops Smart Healthcare System Severity Prediction Critical Tasks Management...

Depression is a serious mental health disorder affecting millions of individuals worldwide. Timely and precise recognition depression vital for appropriate mediation effective treatment. Electroencephalography (EEG) has surfaced as promising tool inspecting the neural correlates therefore, potential to contribute diagnosis effectively. This study presents an EEG-based depressive detection mechanism using publicly available EEG dataset called Multi-modal Open Dataset Mental-disorder Analysis...

Currently, the Internet of Things (IoT) generates a huge amount traffic data in communication and information technology. The diversification integration IoT applications terminals make vulnerable to intrusion attacks. Therefore, it is necessary develop an efficient Intrusion Detection System (IDS) that guarantees reliability, integrity, security systems. detection considered challenging task because inappropriate features existing input slow training process. In order address these issues,...

Fiber Bragg Grating (FBG) is the most distributed type of fiber-optic sensors.FBGs are primarily sensitive to effects temperature and deformation.By employing different transformation techniques, it possible use FBG monitor any physical quantity.To them as parts sensor applications, essential encapsulate FBGs achieve their maximum protection against external damage.Another reason increasing sensitivity measured quantity.Polydimethylsiloxane (PDMS) encapsulation appears be an interesting...

This paper provides a summary of mass COVID-19 testing almost the entire population in Slovakia by antigen tests. We focused on results delivered two rounds and analyzed benefits weaknesses such type testing. prepared mathematical models to critically examine effectiveness testing, we also estimated number potentially sick people that would become infected those marked as positives Our calculations have proven hotspots can flatten curve daily newly reported cases significantly, but regions...

In this article, we address the determination of turning radius and lateral acceleration acting on a vehicle up to 3.5 t gross mass (GVM) cargo in curves based speed. Global Navigation Satellite System with Inertial (GNSS/INS) dual-antenna sensor is used measure acceleration, speed, position determine proper formula calculate long average cargo. The two methods for automatic selection events were applied stable value mean square error (MSE) radiuses. models calculation are valid within 5-70...

This paper analyses the impact of a front brake light (FBL) on road safety from pedestrian perspective. In addition to traditional lights mounted at rear vehicles, an FBL can provide extra information about driver’s intention stop, especially users looking approaching vehicle. innovative feature aims improve by providing additional visual cues, where are not visible. Because pedestrians usually have better line sight vehicle, is more effective in alerting them impending stop. Therefore,...

Research background: The issue of predicting the financial situation companies is a relatively young field economic research. Its origin dates back to 30's 20th century, but constant research in this area proves currentness topic even today. company up date not only for itself, also all stakeholders. Purpose article: main purpose study create new prediction models by using method decision trees, achieving sufficient power generated model with large database real data on Polish obtained from...