Glaucoma is characterized by increased intraocular pressure and damage to the optic nerve, which may result in irreversible blindness. The drastic effects of this disease can be avoided if it detected at an early stage. However, condition frequently advanced stage elderly population. Therefore, early-stage detection save patients from vision loss. manual assessment glaucoma ophthalmologists includes various skill-oriented, costly, time-consuming methods. Several techniques are experimental...

Skin cancer is a major public health concern around the world. identification critical for effective treatment and improved results. Deep learning models have shown considerable promise in assisting dermatologists skin diagnosis. This study proposes SBXception: shallower broader variant of Xception network. It uses as base model classification increases its performance by reducing depth expanding breadth architecture. We used HAM10000 dataset, which contains 10,015 dermatoscopic images...

Agriculture is the backbone of any country, and plays a viable role in total gross domestic product (GDP). Healthy fruitful crops are immense importance for government to fulfill food requirements its inhabitants. Because land diversities, weather conditions, geographical locations, defensive measures against diseases, natural disasters, monitoring with human intervention becomes quite challenging. Conventional crop classification yield estimation methods ineffective under unfavorable...

The farmers of agricultural farms manage and monitor different types livestock. manual inspection monitoring livestock are tedious since the cattle do not stay at fixed locations. Fencing many requires a considerable cost involves farmers’ physical intervention to keep an eye stop them from crossing beyond access points. Visual tracking fencing is time-consuming challenging job. This research proposes smart solution for geofencing using state-of-the-art IoT technology. study creates...

Cervical cancer is a potentially life-threatening disease marked by health practitioners. The late diagnosis and treatment, being quite challenging, stake the precious lives of patients. In both developed undeveloped states, formal screening for identification suffers due to its medical cost, unavailable facilities, society norms, appearance symptoms. Machine intelligence cost-effective, computationally inexpensive, early several types diseases, including cervical cancer. patients are not...

Fruits are considered among the most nutrient-dense cash crops around globe. Since fruits come in different types, sizes, shapes, colors, and textures, manual classification disease identification of a large quantity fruit is time-consuming sluggish, requiring massive human intervention. We propose multilevel fusion method for that includes intensive image pre-processing, customized kernels feature extraction with state-of-the-art (SOTA) deep methods, Gini-index-based controlled selection,...

Diabetes, a chronic metabolic condition characterised by persistently high blood sugar levels, necessitates early detection to mitigate its risks. Inadequate dietary choices can contribute various health complications, emphasising the importance of personalised nutrition interventions. However, real-time selection diets tailored individual nutritional needs is challenging because intricate nature foods and abundance sources. Because diabetes condition, patients with this illness must choose...

Forecasting stock market prices is an exciting knowledge area for investors and traders. Successful predictions lead to high financial revenues prevent from risks. This paper proposes a novel hybrid prediction model that improves accuracy. The proposed method consists of three main components, noise-filtering technique, features, machine learning-based prediction. We used fully modified Hodrick–Prescott filter smooth the historical price data by removing cyclic component time series. propose...

Uncertainty is a major barrier in knowledge discovery from complex problem domains.Knowledge such domains requires qualitative rather than quantitative analysis.Therefore, the measures can be used to represent uncertainty with integration of various models.The Bayesian Network (BN) widely applied technique for characterization and analysis real world domains.Thus, application BN observed broad range as image processing, decision making, system reliability estimation PPDM (Privacy Preserving...

Resource Description Framework (RDF) inherently supports data mergers from various resources into a single federated graph that can become very large even for an application of modest size. This results in severe performance degradation the execution RDF queries. As every query essentially traverses to find output Query, efficient path traversal reduces time Hence, optimization is required reduce as well cost query. Query NP-hard problem cannot be solved polynomial time. Genetic algorithms...

User interface is an essential element of information system from the user perspective. The use text in presents a challenge to some users, such as illiterate, elderly, non-local language speakers, or users with any disabilities. Numerous studies have proposed text-free interfaces based on non-textual aids pictograms, audio, video, specialized hardware. Such rich elements implications for system's storage and processing requirements. We propose using concept hierarchies present dynamic upon...

A customer’s next-items recommender system (NIRS) can be used to predict the purchase list of a customer in next visit. The recommendations made by these systems support businesses increasing their revenue and providing more personalized shopping experience customers. main objective this paper is provide systematic literature review domain analyze recent techniques assist future research. examined 90 selected studies answer research questions concerning key aspects NIRSs. To end,...

The future search engines on World Wide Web, the semantic engines, will not be based merely a word index. They able to understand meaning of content Web pages and carry out logical reasoning them perform complex queries return accurate results. In this paper we propose conceptual architecture for engine. We have discussed components required by engine, requirements these components, their interaction with each other. Ontology editor, ontology mapper, translator, page annotator, crawler,...

Data visualization has gained significant importance since the demand for software applications providing abstract view and pattern identification increased. To meet demand, a number of data techniques best practices have been proposed in many disciplines. However, is not as advanced healthcare compared to other scientific fields. The result limited support provided practitioners by applications. Moreover, poor usability another major hurdle adoption electronic systems rather than...

This paper describes a framework that provides abstraction at the execution level of business process modelling. It aids users in designing and enacting web services-based processes (or other words, service compositions) Business Process Execution Language for Web Services (BPEL4WS). We elaborate on information modelling composition required from user, with syntactic details BPEL4WS being major concern. An intermediary relational model has been devised to store information, which is complete...

Contextual advertising is to place an ad in the web page by analyzing content of page. Different contextual approaches are used make a match. We analyzed different this paper find out how content-match performed. Some use relevance factor between and using machine translation strategies, learning techniques, while some ontologies optimal match proposed strategy which based on collocation words. It finds selected words than it with keyword ad.

The recent COVID-19 pandemic has had lasting and severe impacts on social gatherings interaction among people. Local administrative bodies enforce standard operating procedures (SOPs) to combat the spread of COVID-19, with mandatory precautionary measures including use face masks at assembly points. In addition, World Health Organization (WHO) strongly recommends people wear a mask as shield against virus. manual inspection large number for enforcement is challenge law agencies. This work...

The rationale of XML design is to transfer and store data at different levels. A key feature these levels in an document identify its components for additional processing. can expose sensitive information after application