Financial data are a type of historical time series that provide large amount information is frequently employed in analysis tasks. The question how to forecast stock prices continues be topic interest for both investors and financial professionals. Stock price forecasting quite challenging because the significant noise, non-linearity, volatility on prices. previous studies focus single parameter such as close price. A hybrid deep-learning, model proposed. takes input forecasts two...

Blockchains are a new approach to creating distributed networks that were first introduced in 2008. It allows the formation of peer-to-peer based on consensus, forming chains from accepted blocks without requiring central authority or centralized controller. A prominent application this technology is its use decentralized storage systems. Individuals rent unused hardware space other individuals. network utilizing end-to-end encryption eliminates risk data loss associated with control by...

Abstract Recent research has focused on applying blockchain technology to solve security-related problems in Internet of Things (IoT) networks. However, the inherent scalability issues become apparent presence a vast number IoT devices and substantial data generated by these Therefore, this paper, we use lightweight consensus algorithm cater problems. We propose scalable blockchain-based framework for managing data, catering large devices. This utilizes Delegated Proof Stake (DPoS) ensure...

In agriculture supply chain management, traceability is a crucial aspect to ensure food safety for increasing customer loyalty and satisfaction. Lack of quality assurance in centralized data storage makes us move towards new approach based on decentralized system which transparency guaranteed throughout the from producer consumer. The current model has some disadvantages like communication gap between entities no information about travel history origin product. use technology improves...

Coronary heart disease is one of the major causes deaths around globe. Predicating a most challenging tasks in field clinical data analysis. Machine learning (ML) useful diagnostic assistance terms decision making and prediction on basis produced by healthcare sector globally. We have also perceived ML techniques employed medical prediction. In this regard, numerous research studies been shown using an classifier. paper, we used eleven classifiers to identify key features, which improved...

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...

The Internet of Things (IoT) is one the key components ICT infrastructure smart cities due to its great potential for intelligent management infrastructures and facilities enhanced delivery services in support sustainable cities. Smart typically rely on IoT, where a wide variety devices communicate with each other collaborate across heterogeneous distributed computing environments provide information urban entities urbanites. However, leveraging IoT within software applications raises...

Land registration authorities are frequently held accountable for the alleged mismanagement and manipulation of land records in various countries. Pakistan's property especially vulnerable to falsification corruption because country's poverty. Different parties therefore claim varying degrees authority over a specific piece land. Given fact that this data has been consolidated, it become significantly more security threats. The goal decentralized system research increase reliability these...

Brain tumors represent a severe and often life-threatening condition in adults, as the rapid multiplication of cancerous cells within tumor can critically impair patient's normal functioning. The clinical practice commonly utilizes imaging modalities such MRI, PET CT scans to assess brain tumor's size, type, location. purpose this research is create computer aided diagnosis (CAD) system that segment categorize automatically. designed work specifically with T1W-CE Magnetic Resonance Images...

In body sensor networks, both wearable and implantable biosensors are deployed in a patient to monitor collect health record information. The information is then transmitted toward the medical server via base station for analysis, diagnosis, treatment by experts. Advancement wireless technology although improves health–monitoring mechanism, but still there some limitations regarding security, privacy, efficiency due open channel limited resources of networks. To overcome these limitations,...

In the domains of computational and applied mathematics, soft computing, fuzzy logic, machine learning (ML) are well-known research areas. ML is one intelligence aspects that may address diverse difficulties in a wide range applications systems when it comes to exploitation historical data. Predicting medical insurance costs using approaches still problem healthcare industry requires investigation improvement. Using series algorithms, this study provides approach for predicting costs. The...

Cryptography and associated technologies have existed for a long time. This field is advancing at remarkable speed. Since the inception of its initial application, blockchain has come way. Bitcoin cryptocurrency based on blockchain, also known as distributed ledger technology (DLT). The most well-known everyday use Bitcoin, which debuted in 2008. Its success ushered digital revolution, it currently provides security, decentralization, reliable data transport storage mechanism to various...

In this paper, a secure energy trading mechanism based on blockchain technology is proposed. The proposed model deals with problems such as insecure and inefficient charging mechanisms for electric vehicles (EVs) in vehicular network (VEN). EVs face two major problems: finding an optimal station calculating the exact amount of required to reach selected station. Moreover, traditional approaches, centralized parties are involved trading, which leads various issues increased computational...

In the struggle against population aging, chronic diseases, and a lack of medical facilities, emergence Wireless Body Area Networks (WBANs) technology has ushered in optimism. WBANs use variety wearable implanted biosensor nodes to constantly monitor physiological parameters such as oxygen saturation (SpO2), electrocardiogram (ECG), electromyography (EMG), electroencephalogram (EEG), blood pressure, respiration rate, body temperature, pulse rate. Importantly, these vital signs are...

Smart grid technology has given users the ability to regulate their home energy use more efficiently and effectively. Home Energy Management (HEM) is a difficult undertaking in this regard, as it necessitates optimal scheduling of smart appliances reduce usage. In research, we introduce metaheuristic-based HEM system which incorporates Earth Worm Algorithm (EWA) Harmony Search Algorithms (HSA). addition, hybridization based on EWA HSA operators used optimize consumption terms electricity...

Vehicle connectivity environments and advancements in vehicular technologies offer users both functional convenience safety features, including remote diagnosis assistance. To enable these capabilities, modern vehicles utilize various automotive serial protocols such as FlexRay, Local Interconnect Network (LIN), the popular Controller Area (CAN). The CAN bus serves a key protocol for in-vehicle networks (IVNs), facilitating exchange of vehicle parameters among Electronic Control Units...

Developing an electronic voting system that meets the practical needs of administrators has been a difficult task for long time. Now, blockchain technologies solve this problem by providing distributed ledger with immutable, encrypted, and secure transactions. Distributed are interesting technological leap in field data innovation, transparency, trustability. In public blockchain, technology is widely used. The can be used almost infinite number ways to benefit from sharing economies....