Social media websites are becoming more prevalent on the Internet. Sites, such as Twitter, Facebook, and Instagram, spend significantly of their time users online. People in social share thoughts, views, facts create new acquaintances. sites supply with a great deal useful information. This enormous quantity information invites hackers to abuse data. These establish fraudulent profiles for actual people distribute useless material. The material spam might include commercials harmful URLs...

ABSTRACTIntrusion detection and classification have gained significant attention recently due to the increased utilization of networks. For this purpose, there are different types Network Intrusion Detection System (NIDS) approaches developed in conventional works, which mainly focus on identifying intrusions from datasets with help techniques. Still, it is limited by problems inefficiency handling large dimensional datasets, high computational complexity, false detection, more time...

Rheumatoid arthritis (RA) is measured as an auto-immune illness that affects the musculoskeletal system causing inflammatory, systematic, and chronic effects. RA generally progressive diminishes physical functionality leads to articular fatigue damages. Overall, harms bone joint cartilage, weakening muscle joints, destructing joints. In this investigation, medical disorder classification based on done with Ensemble methods. Real-time data has been collected from Sakthi Rheumatology center...

In the current-generation wireless systems, there is a huge requirement on integrating big data which can able to predict market trends of all application systems. Therefore, proposed method emphasizes integration nanosensors with analysis will be used in healthcare applications. Also, safety precautions are considered when this nanosensor integrated where depth and reflection signals also observed using different time samples. addition, analyze effect nanosensors, six fundamental scenarios...

Safety is a measure that shifts efficiency levels as result of risks impact the usage cloud components during service delivery. and performance demonstrate reliability computing tests size creation are safety protection. The study computer algorithms enhance natural reality Artificial Intelligence (AI). We provide an outline problems concerns for one or more AI such supervised, unregulated, semi-controlled, enhanced concerns. A new paradigm data protection using advanced introduced in future...

Examination and evaluation of sentiment The most popular area for dissecting extracting knowledge from communication data many sources, such as Facebook, Instagram, Twitter, Amazon, so on, is known mining. It plays a fundamental role in enabling the organizations to work productively on advancing business system gaining comprehensive understanding buyer's feedback their product. entails calculating person's behavior terms his buying preferences then placing yourself shoes about commercial...

The past several decades of research into machine learning have been great assistance to humanity in the diagnosis a variety ailments using various forms automated diagnostic procedures. Machine learning, combined with smart health devices, has improved monitoring, timely diagnoses, and treatment. This paper introduces unified disease framework, integrating cloud computing, IoT. framework three layers: physical (collects patient data), fog (intermediate layer domain identification unit...

This work introduces a hybrid model of Artificial Neural Network and Particle Swarm Optimisation (PSO) algorithm for the classification prediction various neurological disorders. The proposed is capable performing diseases based on EEG signal input. Here Probabilistic (PNN) used as it very efficient purposes. Classification results are verified by using tenfold cross-validation technique. Prediction performed modified PSO. database obtained from CIIMS Hospital, Nagpur. highly reliable with...

This article envisages a new flanged technique for monitoring the aquaculture. Since conservative method is needed feed of fish, this introduces an Internet Things (IoT)-based system with integration improved decision machine learning algorithm (IDMLA). The advancement in on chip technologies has been emerging as platform important parameters like quality water, range, velocity and flow water pumps. All if monitored correctly will increase lifetime fish. Therefore, sensor-based technology...

Along with the reason of optimization Spread factor a generalized regression neural network (Grnn) which is variant radial basis function (Rbfn), projected paper presents novel algorithm incorporates two soft-computing methods explicitly particle swarm (Pso) as well genetic (Ga). As in case normal Grnn for simulation network, instead taking any random value factor, has been optimized by using Pso then Ga result purpose converges more rapidly greater accuracy and minimum mean square error...

A rising proportion of older people has more demand on services including hospitals, retirement homes, and assisted living facilities. Regaining control this population's expectations will pose new difficulties for lawmakers, medical professionals, the society at large. Smart technology can help to have independent fulfilling lives while still safely securely in community. In last several decades, number sectors using robots risen. Comrade made their appearance old human life, with most...

Wastewater is created by pharma firms and has become a huge worry for the ecosystem. There significant amount of toxins that are being dropped continuously from numerous pharmaceutical companies causes serious damages to environment public health because its comprising high organics as well inorganic loadings thus requirements appropriate treatment before final disposal Goal this approach treat wastewater model with industrial data. Algorithms artificial neural network (ANN) were employed...

In the earth there is distressing number of people who suffer from neurological disorders. Electroencephalogram EEG signal are chaotic time series signals and tends to change rapidly with patient condition. From normal severe conditions nature has drastic difference in amplitude as well frequencies. Prediction these early stage mere a complex task. The work focused on predicting individual state signal. Generalized Regression neural networks (GRNN) variant Radial basis function network...

Providing security to the Supervisory Control and Data Acquisition (SCADA) systems is one of demanding crucial tasks in recent days, due different types attacks on network. For this purpose, there are attack detection classification methodologies have been developed conventional works. But it limits with issues like high complexity design, misclassification results, increased error rate, reduced efficiency. In order solve these issues, paper aims develop an advanced machine learning models...