Smart city is a collective term for technologies and concepts that are directed toward making cities efficient, technologically more advanced, greener socially inclusive. These include technical, economic social innovations. This has been tossed around by various actors in politics, business, administration urban planning since the 2000s to establish tech-based changes innovations areas. The idea of smart used conjunction with utilization digital at same time represents reaction economic,...

Smart cities have been developed over the past decade, and reducing traffic congestion has top concern in smart city development. Short delays communication between vehicles Roadside Units (RSUs), smooth flow, road safety are key challenges of Intelligent Transportation Systems (ITSs). The rapid upsurge number increased accidents. To fix this issue, Vehicular Networks (VNs) many new ideas, including vehicular communications, navigation, control. Machine Learning (ML) is an efficient approach...

Supply Chain Collaboration is the network of various entities that work cohesively to make up entire process. The supply chain organizations’ success dependent on integration, teamwork, and communication information. Every day, business players in a dynamic setting. They must balance competing goals such as process robustness, risk reduction, vulnerability real financial risks, resilience against just-in-time cost-efficiency. Decision-making based shared information constitutes recital...

Information Collaboration of the supply chain is domination and control product flow information from producer to customer. The data correlated with demand fill-up, a role delivering service, feedback. collaboration complex contrivance that impeccably manages efficiency focuses on its vulnerable area. As there always room for growth in current century, major companies have shown growing tendency improve their chain’s productivity sustainability increase customer consumption complying...

Recent advances in the domain of software defect prediction (SDP) include integration multiple classification techniques to create an ensemble or hybrid approach. This technique was introduced improve performance by overcoming limitations any single technique. research provides a systematic literature review on use learning approach for prediction. The is conducted after critically analyzing papers published since 2012 four well-known online libraries: ACM, IEEE, Springer Link, and Science...

Alzheimer's disease is a severe neuron that damages brain cells which leads to permanent loss of memory also called dementia. Many people die due this every year because not curable but early detection can help restrain the spread. most common in elderly age bracket 65 and above. An automated system required for detect classify into multiple Alzheimer classes. Deep learning machine techniques are used solve many medical problems like this. The proposed Disease utilizes transfer on...

Clustering is the process of grouping data based on their similar properties. Meanwhile, it categorization a set into groups (clusters), and elements in each cluster share similarities, where... | Find, read cite all research you need Tech Science Press

Cancer accounts for a huge mortality rate due to its aggressiveness, colossal potential of metastasis, and heterogeneity (causing resistance against chemotherapy). Lung colon cancers are among the most prevalent types cancer around globe that can occur in both males females. Early accurate diagnosis these substantially improve quality treatment as well survival patients. We propose highly computationally efficient model swift lung an alternative current detection methods. In this study,...

Breast cancer is often a fatal disease that has substantial impact on the female mortality rate. Rapidly spreading breast due to abnormal growth of malignant cells in breast. Early detection can increase treatment opportunities and patient survival rates. Various screening methods with computer-aided systems have been developed for effective diagnosis cancer. Image data plays an important role medical health industry. Features are extracted from image datasets through deep learning, as...

In the medical field, it is essential to predict diseases early prevent them. Diabetes one of most dangerous all over world. modern lifestyles, sugar and fat are typically present in our dietary habits, which have increased risk diabetes. To disease, extremely important understand its symptoms. Currently, machine-learning (ML) algorithms valuable for disease detection. This article presents a model using fused machine learning approach diabetes prediction. The conceptual framework consists...

Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate changes, low quality of construction material, large flow traffic, heavy vehicles, road anomalies increasing rapidly. Detection repairing these necessary the safety drivers, passengers, vehicles from mechanical faults. In this modern era, autonomous an active research area that controls itself with help in‐vehicle sensors without human commands, especially after emergence deep learning (DNN)...

Transforming from digitalization to digitization brings many new technologies restructure our life and routines. In today’s competitive world, internet infrastructures banking industries are counted as integral components for online shopping commercial transactions. As because, disclosure of transactions has been allowed through media, that would enhance the availability electronic payment systems. Further, this study aims explore investigate relationship impact methods on sales growth with...

Hepatitis C is a contagious blood-borne infection, and it mostly asymptomatic during the initial stages. Therefore, difficult to diagnose treat patients in early stages of infection. The disease’s progression its last makes diagnosis treatment more difficult. In this study, an AI system based on machine learning algorithms presented help healthcare professionals with hepatitis C. dataset used for our Hep-Pred model literature includes records 1385 infected virus. Patients received dosages...

In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a tremendous speed. Security and privacy are key concerns on IoMT, owing to huge scale deployment IoMT networks. Machine learning (ML) blockchain (BC) technologies have significantly enhanced capabilities facilities healthcare 5.0, spawning new area known as "Smart Healthcare." By identifying early, smart system can help avoid long-term damage. This will enhance quality life for patients while reducing...

Liver Disease (LD) is the main cause of death worldwide, affecting a large number people. A variety factors affect liver, resulting in this disease. The diagnosis condition both expensive and time-consuming. Machine Learning offers lot potential terms automated disease diagnosis. As result, purpose research to assess efficacy various (ML) algorithms lower high cost liver through prediction. With current rise numerous disorders, it's more important than ever detect early on. This proposed...

The Internet of Medical Things (IoMT) enables digital devices to gather, infer, and broadcast health data via the cloud platform. phenomenal growth IoMT is fueled by many factors, including widespread growing availability wearables ever-decreasing cost sensor-based technology. related healthcare will rise as global population elderly people grows in parallel with an overall life expectancy that demands affordable services, solutions, developments. may bring revolution medical sciences terms...

Recent years have witnessed substantial advancement in the subject of smart cities. The purpose city development is to enhance quality life for citizens. This was accomplished via use IoT and cloud computing technologies. Another promising technology blockchain, which has ability deliver a myriad value services its end users. For virtual assets with value, such as Bitcoin, it programmable digital register that immutable. To properly exploit blockchain technology's inside cities, necessary...

Capital structure is an integral part of the corporate finance that sources funds to growth and operations. Managers always have maintain value firm be higher than cost capital in order maximize shareholders wealth. Empirical studies used like debt equity as variables structure. A choice between analyzes firm’s ability perform under financially constrained environment attain sustainable growth. Therefore, it gives rise a dire need estimate precisely. We examined top ten market capitalization...

Digital banking is the new form of that involves using internet and mobile applications excludes use pen paper. One main issues are associated with presence several forms security risks. These risks caused due to criminal activities hackers fraudsters who aim steal people's money. Therefore, an efficient system multiple verifications, authentication processes, data encryption needed combat such a threat. There has been much other work about this topic by authors. By analyzing finding from...

Flexible, manageable, and more efficient energy storage solutions have increased the demand for electric vehicles. A powerful battery pack would power driving motor of The density, longevity, adaptable electrochemical behavior, temperature tolerance must be understood. Battery management systems are essential in vehicles renewable systems. This article addresses concerns, difficulties, related to batteries. system covers voltage current monitoring; charge discharge estimation, protection,...