Agriculture sector is evolving with the advent of information and communication technology. Efforts are being made to enhance productivity reduce losses by using state art technology equipment. As most farmers unaware latest practices, many expert systems have been developed in world facilitate farmers. However, these rely on stored knowledge base. We propose an system based Internet Things (IoT) that will use input data collected real time. It help take proactive preventive actions minimize...

The Internet of Things (IoT) has a wide range applications that influence the life people expeditiously. In recent years, IoT becomes an emerging technology in number fields. Different devices with divergent functionality are applied to work several domains. These domains include smart home, farming, and Industrial (IIoT). Among these territories, IIoT obtains more attention. environment, legitimate user can control access remotely. Legitimate users real-time data share confidential...

The emergence of contemporary technologies like cloud computing and the Internet Things (IoT) has revolutionized trends in cyber world to serve humanity. There are plenty applications which they being used, especially smart cities their constituents, Maritime Transportation System (MTS) is one them. IoT-enabled MTS potential entertain growing challenges modern-day ship transportation. Secure real-time data access from numerous IoT devices most critical crucial exercise for Big Data...

A bug triage system is used for validation and allocation of reports to the most appropriate developers. An automatic may reduce software maintenance time improve its quality by correct timely assignment new In this paper, we present techniques behind an system, which based on categorization reports. order obtain these performed comparative experiments. We downloaded 1,983 resolved along with developer activity data from Mozilla open source project. extracted relevant features like report...

The idea of a smart city and the utilization vehicles are emerging rapidly. For inter-vehicular communication, this progression builds Vehicular Ad-Hoc Network (VANET) an extensively used network. VANET is to obtain information regarding road's condition, location vehicles, speed, traffic congestion description. exchange in public which leads severe security threats. Generally, one most crucial tasks data. So it becomes urgent researchers. We have reviewed several authentication schemes for...

Large volume of Genomics data is produced on daily basis due to the advancement in sequencing technology. This no value if it not properly analysed. Different kinds analytics are required extract useful information from this raw data. Classification, Prediction, Clustering and Pattern Extraction techniques mining. These require appropriate selection attributes for getting accurate results. However, Bioinformatics high dimensional, usually having hundreds attributes. Such large a number...

RNN based Deep learning models has shown tremendous success in sequential and temporal data where the order is critical to achieve higher accuracy context understanding. family like LSTM, BLSTM, GRU, BiGRU etc. are mainly used these kind of tasks. Encoder-decoder frameworks widely for recognition various languages scripts. However, Urdu, very less research been done especially with deep models. The existing work printed Urdu have that current only basic sentences but case complex words...

Next Generation Sequencing (NGS) technology has resulted in massive amounts of proteomics and genomics data. This data is no use if it not properly analyzed. ETL (Extraction, Transformation, Loading) an important step designing analytics applications. requires proper understanding features Data format plays a key role data, representation space required to store I/O during processing intermediate results processing, in-memory analysis overall time process Different mining machine learning...

Machine learning techniques provide mechanism that can be used to induce knowledge from data.A few studies exist on the use of machine for medical diagnosis, prediction and treatment.In this study we evaluate different birth classification (cesarean or normal).Data cesarean section is collected factors are identified result in births.A model built using decision tree artificial neural networks.It classify births into normal with an average accuracy, precision recall 80%, 85% 84%...

Abnormal growth of brain tissues is the real cause tumor. Strategy for diagnosis tumor at initial stages one key step saving life a patient. The manual segmentation magnetic resonance images (MRIs) takes time and results vary significantly in low-level features. To address this issue, we have proposed ResNet-50 feature extractor depended on multilevel deep convolutional neural network (CNN) reliable by considering features MRI. In model, extracted through architecture fed these maps to...

Automatic text classification of the software change request (CR) can be used for automating impact analysis, bug triage and effort estimation. In this paper, we focus on automation process assigning CRs to developers present a solution that is based automatic CRs. addition our approach provides list source files, which are required modified an estimate time resolve given CR. To perform experiments, downloaded set resolved from OSS project's repository Mozilla. We labeled each CR with...

Software changes are inevitable in large and long lived projects. Successful applications require proper handling assignment of change requests (CRs). In projects, a number CRs generated daily. These should be resolved timely. We present an automated approach to assign appropriate developers. use Alphabet Frequency Matrix (AFM) classify into developer classes. apply machine learning techniques on the AFM data sets for classification. find that can used achieve average accuracy from 27% 53%...

Till date, the dominant part of Recommender Systems (RS) work focusing on single domain, i.e. for films, books and shopping so on. However, human inclinations may traverse over numerous areas. Thus, utilization practices related things from various domains can be valuable RS to make recommendations. Academic articles, such as research papers are way express ideas thoughts community. there have been a lot journals available which recognize these technical writings. In addition, journal...

Change management is a challenging task in software maintenance. Changes are made to the during its whole life. Some of these changes introduce errors code which result failures. Software composed small units called hunks, dispersed source files. In this paper we present technique for classifying based on hunk metrics. We classify individual hunks as buggy or bug-free, thus provide an approach bug prediction at smallest level granularity. set metrics and build classification models...

Predicting the drug targets in base of cancer cell line is one hottest issues treatment. Drug sensitivity describes which perfect for certain condition or disease. This exists due to change human metabolism. Different techniques are used treatment such as radiotherapy, hormone therapy, chemotherapy, and surgery. Many statistical methods machine learning algorithms support vector machine, principal component analysis (PCA), logistic regression, simple linear naive Bayes classifier,...

Business owners and managers need strategic information to plan execute their decisions regarding business operations. They work in a cyclic of execution evaluation. In order run this cycle smoothly, they mechanism that should access the entire performance. The sole purpose study is assist them through applied research framework-based analysis obtain effective results. backbone purposed framework hybrid comprises intelligence (BI) machine learning (ML) support 360-degree organization-wide...

Next Generation Sequencing has resulted in the generation of large number omics data at a faster speed that was not possible before. This is only useful if it can be stored and analyzed same speed. Big Data platforms tools like Apache Hadoop Spark solved this problem. However, most algorithms used bioinformatics for Pairwise alignment, Multiple Alignment Motif finding are implemented or Spark. Scala powerful language supported by It provides, constructs traits, closures, functions, pattern...