The term cybersecurity refers to an environment capable of protecting digital devices, networks and information from unauthorized access preventing data theft or alteration. It is composed a collection carefully crafted techniques, processes, practices protect sensitive deterring cyber-attacks. In the recent period, domain has undergone rapid growth in response increasing cyber threats. Cybersecurity includes important tactics that help environment, which are firewalls, encryption, secure...

As it tries to incorporate computer-based technology into the public services provided by businesses or organisations, digital transformation process is currently regarded one of most prominent topics in circulation. Establishing fundamentals and points necessary for transformation, as relying on a specific set employee talents actively incorporating customers process's evolution. Cybersecurity has become an increasingly important issue governments worldwide, this shift towards top priority...

Among the most dangerous cancer in world is skin cancer. If not diagnosed early stages it might be hard to cure. The aim of this work present a study segmentation, features selection and classification approaches. In segmentation stage, we will result use pre-processing based on multiscale decomposition model where geometrical component used get good segmentation. are firstly extracted using texture color lesion, then comparative some approaches that select relevant ones. feature compare...

Skin cancer has become more dangerous in recent years due to its rapid and widespread spread around the world. This evidence sparked people's interest efforts develop automatic diagnostic computer systems that can help early diagnosis. Several approaches based on machine learning deep have been developed assist diagnosis of skin lesions. Our objective this paper is conduct a comparative study between different for classification analysis. Four learning-based architectures were studied;...

Today, the science of artificial intelligence has become one most important sciences in creating intelligent computer programs that simulate human mind. The goal medical field is to assist doctors and health care workers diagnosing diseases clinical treatment, reducing rate error, saving lives citizens. main widely used technologies are expert systems, machine learning big data. In article, a brief overview three mentioned techniques will be provided make it easier for readers understand...

Fraudulent internet transactions have caused considerable harm and losses for both people organizations over time. The growth of cutting-edge technology worldwide connectivity has exacerbated the rise in online fraud instances. To offset these losses, robust detection systems must be developed. ML statistical approaches are critical components properly recognizing fraudulent transactions. However, implementing models presents challenges such as limited data availability, sensitivity,...

Melanoma skin cancer is becoming more and prevalent. Fortunately, early detection can significantly increase the chances of a cured patient. However, an accurate recognition this type challenging due to difficulty distinguish difference between melanoma non-melanoma cancer. Recently, many approaches have been proposed classify lesion based on deep learning. In paper, improved classification using convolutional neural network proposed. The main idea use only textural information as CNN input...

In recent years skin cancer is becoming more and threatening because of its fast significant spread worldwide. This evidence has increased interest efforts in the development automatic diagnostic computational systems to assist early diagnosis. Several approaches have been proposed lesion diagnosis which used machine learning ensemble learning. some cases, a classifier can correctly predict output class while others fail vice versa. So idea use different classify cancer. this paper, we...

Skin cancer is one of the most common types cancer, its incidence reached epidemic proportions and caused many deaths. can be categorize into three main types; Actinic Keratoses, Basal cell carcinoma Melanoma. The melanoma skin aggressive deadliest form compared to others. Early Melanoma detection diagnosis often allows for more treatment option decreases significantly number Many researchers proposed use image processing lesion detection. process divided stages: identification based on...

With the increased demand for infrastructure maintenance and evolving capabilities of deep learning, there is a pressing need to apply advanced techniques efficient accurate detection structural anomalies. This paper delves into application Convolutional Neural Networks (CNNs) transfer learning address problem pavement crack classification using images. Three distinctive models were explored: 4-layer CNN, 2-layer VGG-based model. Through comprehensive experimentation, we demonstrate efficacy...

Skin cancer is one of the most deadly cancers in world. If not diagnosed early stages it might be hard to cure. This paper suggests a new approach for automatic segmentation and classification skin lesion dermoscopic images. The based on pre-processing; using color structure-texture image decomposition decompose textured into texture geometrical components. Geometrical component used extract features. Feature performed Support Vector Machine (SVM) classifier. efficiency performance proposed...

Urban mobility is one of the most important factors in development any nation and can act as a strong stimulant for economic expansion. Moreover, rapid urban population growth recent years has resulted substantial rise number vehicles. But, infrastructure on routes frequently isn’t adequate big This inadequacy leads to several problems, including road insecurity, time loss pollution. Congestion biggest issues significant hindrance transportation system. In order maximize efficiency existing...

Skin cancer is one of the most common types in white populations and incidence skin has reached epidemic proportions. This paper proposes a new approach for automatic segmentation classification lesion. The based on pre-processing using color structure texture image decomposition. Geometrical component used lesion to extract features. Feature performed Support Vector Machine (SVM) classifier. efficiency performance proposed are evaluated comparison with recent robust dermoscopic approaches...

Skin Cancer represents currently a grave health problem and the search for an exact clinical diagnosis has been continuous concern dermatologists important field study many researchers, especially on Digital Image Processing area, in which segmentation is basic process produces permanently effective result next process. Commonly Segmentation following up software approach systems, but better processing speed, hardware implementation favors comparison with implementation. Based standard...

This paper presents a new approach to detect and classify skin lesions for melanoma diagnosis with high accuracy. Skin lesion detection is based on an image decomposition into two components using the Partial Differential Equation (PDE). The first component that sufficiently preserves contour thus exploited have adequate segmentation of while second provides good characterization texture. Moreover, improve classification accuracy, powerful features extracted by skeletonization are presented....