Tomato is one of the most essential and consumable crops in world. Tomatoes differ quantity depending on how they are fertilized. Leaf disease primary factor impacting amount quality crop yield. As a result, it critical to diagnose classify these disorders appropriately. Different kinds diseases influence production tomatoes. Earlier identification would reduce disease's effect tomato plants enhance good innovative ways identifying classifying certain have been used extensively. The motive...

Nowadays, a huge amount of data is generated every day in continuous manner hour and if the not utilized right or meaningful then this just like garbage. Therefore, information from can be represented through feature selection. Feature selection refers to various methods which selects most appropriate according problem. This paper provides an insight into include filter, wrapper, embedded, hybrid detailed explanation techniques by these methods. Further, comparison among have also been made.

The paddy crop is the most essential and consumable agricultural produce. Leaf disease impacts quality productivity of crops. Therefore, tackling this issue as early possible mandatory to reduce its impact. Consequently, in recent years, deep learning methods have been identifying classifying leaf disease. Deep used observe patterns leaves. For instance, organizing a crop’s according shape, size, color significant. To facilitate farmers, study proposed Convolutional Neural Networks-based...

A Method of Classification Based on Norms Data mining greatly benefits several subfields within the healthcare industry. Detecting and treating diseases at an early stage is a challenging but essential objective in field. If they are discovered enough, many can be diagnosed treated while still their stages. Conditions that affect thyroid one example this type example. In past, disorders were identified through process involved observing patient's symptoms doing battery blood tests. The...

The application of ameliorative datasets to foretell chronic diseases has grasped considerable attention amongst data scientists all around the globe. study is based on Cardiovascular disease dataset. a broad term concerning disorders heart and blood vessels ranked be topmost cause demise worldwide. Various feature selection techniques have been applied each given classification algorithms features which give best accuracy are then utilized for that particular algorithm.

Breast cancer is the foremost cause of mortality among females. Early diagnosis a disease necessary to avoid breast by reducing death rate and offering better life individuals. Therefore, this work proposes Parallel Convolutional SpinalNet (PConv-SpinalNet) for efficient detection using mammogram images. At first, input image pre-processed Gabor filter. The tumour segmentation conducted LadderNet. Then, segmented samples are augmented Image manipulation, erasing, mix techniques. After that,...

Among the leading causes of mortality in developed countries are neurological diseases like Alzheimer's disease (AD). Amazing results have come out studies that used algorithms powered by computers. Deep models all rage right now, especially world image processing. Many academic focused on deep learning for detection since 2018. This paper introduces a simplified framework federated to classify while ensuring security private information. work uses IID (Independent and Identically...

Research on the pandemic COVID-19 seems to be a key area of research.Throughout this portion, we're discussing plenty distinct researchers' strong research efforts dealing with pandemic.The entire universe has been suffering some crucial issues related disease outbreak, which requires urgent attention. 9,10In DL, IJCRR

Skin lesions detection and classification is a prominent issue difficult even for extremely skilled dermatologists pathologists. disease the most common disorder triggered by fungus, viruses, bacteria, allergies, etc. diseases are dangerous may be cause of serious damage. Therefore, it requires to diagnose at an earlier stage, but diagnosis therapy itself complex needs advanced laser photonic therapy. This advance involves financial burden some other ill effects. must use artificial...

Even though diabetes is a worldwide epidemic, there no cure for it. Furthermore, Healthcare people with costs lot of money every year. As result, the most critical consideration accuracy forecast and selection an appropriate methodology. Artificial Neural Networks (ANNs) artificial intelligence systems are two examples these techniques (ANN). neural networks were employed in this study to determine whether subject has diabetes. network error function was also used as criterion during...

Humans are motivated to improve agricultural yields by implementing new technologies due the world's growing population. Precision agriculture, which is expected raise crops considerably, could be achieved via Internet of Things (IoT). However, a significant investment in IoT systems for agriculture and farmers who not computer aware make large-scale implementation problematic. As result, it advocated that focus on deployment widened include entire life cycle agriproducts. While adopting...

In the perspective of Industry 4.0 (IR 4.0) model, Deep Learning (DL) domain now has a significant impact on production industry. The IR model promotes intelligent sensors, systems, and devices to build industries that gather information regularly. DL method enables development implementable intelligence by analyzing gathered boost efficiency without dramatically changing necessary materials. Component defects discrepancies component reliability are particularly massive in industrial...

More than half of the population is directly dependent on agriculture and it also contributes to GDP many countries. Rice crop one main yields in field countries rice considered food. But there are leaf diseases that affect very badly. Which will cause low-quality crops affects growth it's difficult for farmers detect at right time without help an expert. So automated system a helpful way disease. can take precautions save their from damage. In our proposed work dataset 5368 images which has...

One of the most severe issues in modern mental health care is depression, which affects people all ages and sexes equally. Nowadays, do not have to work as hard physically more stress overall, can lead disruption. Depression results from several factors, including workplace culture, daily life pressures, difficulty maintaining healthy relationships, monotony social family obligations. In addition, angina heart attacks both been linked depression. a medical condition that significantly how...

Rice, one of the world's most extensively produced grain crops, has numerous genetic variants. These kinds are differentiated from another based on their characteristics. Typically, these characteristics include texture, form, and color. It is possible to classify evaluate quality seeds qualities. Five types rice often in Turkey were used for research: Arborio, Basmati, Ipsala, Jasmine, Karacadag. The dataset contains a total 7424-grain pictures. Several classification methods applied with...

Predicting the progression of liver cancer disease is a significant challenge in research. In this study, we analyzed models for predicting development Hepatocellular carcinoma (HCC) cancer. Due to its prevalence as leading cause mortality, technological progress has resulted patients' data various stages. HCC using publicly available dataset would necessitate assessing machine learning algorithms' prediction ability. We suggest employing methods like kNN, SVM, SGD, Neural Networks, Naïve...

The growing human population and shifting weather patterns have highlighted the critical need for new methods of farming that increase harvests while decreasing water use. This study presents design implementation an IoT-based automated irrigation system precision agriculture, which is innovative solution to problem. primary goal use sensor technologies, data analytics, cloud computing achieve efficient utilisation in agricultural cultivation. One major benefit proposed it combines elements...

Web services provided by various companies in the form of APIs (Application Programming Interfaces) have increased to a very large extent recent years. Service Oriented Architectures (SOA) and message exchange protocol SOAP (Simple Object Access Protocol) become prominent methods serve data process for web services. But Recent reports state that number are migrating from SOAP-based architecture Representational State Transfer or REST. REST is resourceoriented where resources entities system....

Dry fruits are an important part of daily life and most consumable in all parts the Indian continent. It is difficult to identify quality dry fruit with naked eye. Industrialists or consumers consume that can be evaluated based on their features. Here this research, a transfer learning-based deep learning model proposed classify multiple features such as size, shape, edge. In study, models Xception, Inception, VGG16, VGG19 SqueezNet used set weights for trained these dry-fruits dataset. The...