Internet of things (IoT) is a promising technology which provides efficient and reliable solutions towards the modernization several domains. IoT based are being developed to automatically maintain monitor agricultural farms with minimal human involvement. The article presents many aspects technologies involved in domain agriculture. It explains major components smart farming. A rigorous discussion on network used agriculture has been presented, that involves architecture layers, topologies...

The growing demand for food in terms of quality and quantity has increased the need industrialization intensification agriculture field. Internet Things (IoT) is a highly promising technology that offering many innovative solutions to modernize sector. Research institutions scientific groups are continuously working deliver products using IoT address different domains agriculture. This paper presents systematic literature review (SLR) by conducting survey technologies their current...

Melanoma remains the most harmful form of skin cancer. Convolutional neural network (CNN) based classifiers have become best choice for melanoma detection in recent era. The research has indicated that on CNN classify cancer images equivalent to dermatologists, which allowed a quick and life-saving diagnosis. This study provides systematic literature review latest classification using CNN. We restrict our binary melanoma. In particular, this discusses compares accuracies these when tested...

The Internet of Things (IoT) is an emerging paradigm that transforming real-world things (objects) into smarter devices. IoT applicable to a variety application domains including healthcare, smart grid, and agriculture. This domain has started revolutionizing the agriculture industry by providing solutions for precision farming, greenhouse management, livestock monitoring. article aims present comprehensive survey on role in Livestock field categorizing synthesizing existing research work...

The federated learning technique (FL) supports the collaborative training of machine and deep models for edge network optimization. Although a complex with heterogeneous devices having different constraints can affect its performance, this leads to problem in area. Therefore, some research be seen design new frameworks approaches improve processes. purpose study is provide an overview FL applicability domains. key focus paper produce systematic literature review recent studies that clearly...

In a cloud computing paradigm, allocation of various virtualized ICT resources is complex problem due to the presence heterogeneous application (MapReduce, content delivery and networks web applications) workloads having contentious requirements in terms resource capacities (resource utilization, execution time, response etc.).This task becomes more challenging finite available increasing consumer demands.Therefore, many unique models techniques have been proposed allocate...

Deep learning methods have huge success in task specific feature representation. Transfer algorithms are very much effective when large training data is scarce. It has been significantly used for diagnosis of diseases medical imaging. This article presents a systematic literature review (SLR) by conducting comparison variety transfer approaches with healthcare experts diagnosing from study compiled reviewing research studies published renowned venues between 2014 and 2019. Moreover, the...

Earthquake is one of the most hazardous natural calamity. Many algorithms have been proposed for earthquake prediction using expert systems (ES). We aim to identify and compare methods, models, frameworks, tools used forecast earthquakes different parameters. conducted a systematic mapping study based upon 70 systematically selected high quality peer reviewed research articles involving ES prediction, published between January 2010 2020.To best our knowledge, there no recent that provides...

The greenhouse is one of the sustainable forms smart agricultural farming. It considered as an alternate method to overcome food crisis which generated due high population growth, climate change, and environmental pollution. Although this supports off-the-season crops within enclosed area even in severe climatic zones. has required efficiently control manage crop parameters at a more precise secure way. advancement Internet Things (IoT) introduced solutions automate farming such plant...

A widespread mistrust towards the traditional voting system has made democratic in any country very critical. People have seen their fundamental rights being violated. Other digital systems been challenged due to a lack of transparency. Most are not transparent enough; this makes it difficult for government gain voters’ trust. The reason behind failure and current is that can be easily exploited. primary objective resolve problems system, which include kind mishap or injustice during...

Floods are one of the most common natural disasters that occur frequently causing massive damage to property, agriculture, economy and life. Flood prediction offers a huge challenge for researchers struggling predict floods since long time. In this article, flood forecasting model using federated learning technique has been proposed. Federated Learning is advanced machine (ML) guarantees data privacy, ensures availability, promises security, handles network latency trials inherent in by...

Bilharzia or schistosomiasis is one of the most fatal and factitious disease happens through pollute which become a significant reason deaths in world. Prediction factors identification that causes early stage, may escort to treatment before it becomes critical. Data mining techniques are used assist medical professionals effectively diseases' classification. This research investigates recovery death contributes preprocessed dataset, collected from Hubei, China. A computerized learning...

The recruitment, engagement, and training of the employees are among core critical roles for running an organization successfully.Gamification has been proven to be a promising tool that offers many innovative solutions various domains.This study presents systematic literature review (SLR) research studies involving gamification employees.The SLR synthesized by reviewing carefully selected published between 2014 2019 in well-reputed venues.Apart from state-of-the-art on gamified recruiting...

Learning to program involves acquisition of various skills including problem solving, fundamental design techniques as well critical thinking. Generally, most the novice programmers struggle develop all these important skill. The research community has addressed in many different ways while involving improvisations curriculum, pedagogical methods, cognitive aspects, supporting tools, and designing assessments. This aims analyze synthesize existing literature aforementioned areas. Research...

Diabetic Retinopathy (DR) is a predominant cause of visual impairment and loss. Approximately 285 million worldwide population affected with diabetes, one-third these patients have symptoms DR. Specifically, it tends to affect the 20 years or more but can be reduced by early detection proper treatment. Diagnosis DR using manual methods time-consuming expensive task which involves trained ophthalmologists observe evaluate digital fundus images retina. This study aims systematically find...

In recent years, the Internet of Things (IoT) has become one most familiar names creating a benchmark and scaling new heights. IoT an indeed future communication that transformed objects (things) real world into smarter devices. With advent technology, this decade is witnessing transformation from traditional agriculture approaches to advanced ones. perspective current standing in agriculture, identification prominent application IoT-based smart farming i.e. greenhouse been highlighted...

Software-defined network (SDNs) have fundamentally changed infrastructure by decoupling the data plane and control plane. This architectural shift rejuvenates layer granting re-programmability centralized management of networks which brings about exciting challenges. Although an SDN seems to be a secured when compared conventional networks, it is still vulnerable faces rigorous deployment Moreover, bifurcation planes also opens up new security problems. systematic literature review (SLR) has...

The major challenge faced by autonomous vehicles today is driving through busy roads without getting into an accident, especially with a pedestrian. To avoid collision pedestrians, the vehicle requires ability to communicate pedestrian understand their actions. most challenging task in research on computer vision detect activities, at nighttime. Advanced Driver-Assistance Systems (ADAS) has been developed for and parking support visualize sense, send receive information from environment but...

Earthquakes are a natural phenomenon which may cause significant loss of life and infrastructure. Researchers have applied multiple artificial intelligence based techniques to predict earthquakes, but high accuracies could not be achieved due the huge size multidimensional data, communication delays, transmission latency, limited processing capacity data privacy issues. Federated learning (FL) is machine (ML) technique that provides an opportunity collect process onsite without compromising...