Mental health has become a global issue with growing numbers of cases. Digital phenotyping in mental healthcare provides a highly effective, scaled, cost-effective approach to handling global mental health problems. M...
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Machine Learning (ML) is increasingly used in domains such as cyber-physical systems and enterprise systems. These systems typically operate in non-static environments, prone to unpredictable changes that can adversel...
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ISBN:
(纸本)9783031124297;9783031124280
Machine Learning (ML) is increasingly used in domains such as cyber-physical systems and enterprise systems. These systems typically operate in non-static environments, prone to unpredictable changes that can adversely impact the accuracy of the ML models, which are usually in the critical path of the systems. Mispredictions of ML components can thus affect other components in the system, and ultimately impact overall system utility in non-trivial ways. From this perspective, self-adaptation techniques appear as a natural solution to reason about how to react to environment changes via adaptation tactics that can potentially improve the quality of ML models (e.g., model retrain), and ultimately maximize system utility. However, adapting ML components is non-trivial, since adaptation tactics have costs and it may not be clear in a given context whether the benefits of ML adaptation outweigh its costs. In this paper, we present a formal probabilistic framework, based on model checking, that incorporates the essential governing factors for reasoning at an architectural level about adapting ML classifiers in a system context. The proposed framework can be used in a selfadaptive system to create adaptation strategies that maximize rewards of a multi-dimensional utility space. Resorting to a running example from the enterprise systems domain, we show how the proposed framework can be employed to determine the gains achievable via ML adaptation and to find the boundary that renders adaptation worthwhile.
Conditions that affect the lungs and make breathing difficult are respiratory ailments. Lung cancer is a disease that affects people all over the globe. The greater the number of individuals aware of them, the better....
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Active Directory is Microsoft’s developed service delivery through a hierarchical system. One of its functions is the storage of data about things that are connected to the network. Since they will establish and mana...
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ISBN:
(纸本)9789819762217
Active Directory is Microsoft’s developed service delivery through a hierarchical system. One of its functions is the storage of data about things that are connected to the network. Since they will establish and manage users and items within the network, network administrators play a crucial role. An extensive user base may be organized using the Active Directory which also offers access control at every level, as it can be used to manage all network components, including computers, groups, users, domains security policies, and any kind of user-defined objects. This article also briefly discusses the methodologies used in vulnerability assessment and penetration testing (VAPT), a security measure deployed by the banking industry to defend infrastructure from attacks in the online realm. An information security audit’s presence enhances the likelihood that important security measures will be adopted, thwarting these assaults or significantly reducing cyberattacks. The primary gold of this article is to raise awareness of cyber security and its relevance at all levels of the financial industry. New and sophisticated security risks are created by the pervasiveness of complex technology infrastructures and services as well as the constantly changing threat landscape. These hazards are mostly linked to a wide range of vulnerabilities pertaining to configuration errors, operational deficiencies, and security defects in hardware or software. Under these circumstances, it is critical to promptly identify and address security threats that impact technology environments. We suggest an AI-assisted analytical framework to assess the target environment’s safety or vulnerability in order to address these important concerns. The combination of machine learning and graph-based approaches forms the foundation of the system. To be more exact, the target’s constituent parts and their vulnerabilities are depicted as graphs, the analysis of which determines the attack paths connected to
Micro milling is a new method for machining micro parts. In order to study the change rule of cutting temperature field in micro-milling process, the thermal-mechanical model of micro milling was established by using ...
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The primary objective of utilizing recommendation frameworks is to pick up the efficiency of the designer by prescribing documents to alter. Now days use of recommendation systems while developing software increasing ...
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ISBN:
(数字)9798350388916
ISBN:
(纸本)9798350388923
The primary objective of utilizing recommendation frameworks is to pick up the efficiency of the designer by prescribing documents to alter. Now days use of recommendation systems while developing software increasing in order to speed up the process of software development by software developers. Data Collection will be depended on Primary and Secondary resources. The data will be accumulated from the subjective research will turn into the reason for the plan of quantitative examinations. We utilized Mylyn data. Mylyn records association follows from the Obscuration IDE and files them in the Overshadowing Bugzilla framework. In the present study, we will be utilized a non-probability testing procedure that is accommodation inspecting. Convenience sampling is typically utilized for gathering an extensive number of data. Distinctive kinds of systems can be utilized to assess diverse research results and make a sound decision for a given overview data. In this examination, data will be investigated utilizing distinctive quantitative and subjective methods.
Aiming at the lack of inertial navigation system (INS) orientation accuracy test and error calibration means in the user's field environment, we systematically sort out and analyze the orientation accuracy indexes...
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ISBN:
(数字)9798331531409
ISBN:
(纸本)9798331531416
Aiming at the lack of inertial navigation system (INS) orientation accuracy test and error calibration means in the user's field environment, we systematically sort out and analyze the orientation accuracy indexes of INS, put forward the orientation accuracy test, static north-seeking accuracy test, dynamic north-seeking accuracy test, dynamic orientation holding accuracy test method, put forward the practical method of vehicle INS installation error calibration, and develop the software system. The proposed method and system can meet the field testing and calibration needs.
This paper presents the results of developing a prototype software system for detecting fine defects in industrial products. The core of the computing unit contains a previously developed computational-heuristic algor...
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ISBN:
(数字)9798331516321
ISBN:
(纸本)9798331516338
This paper presents the results of developing a prototype software system for detecting fine defects in industrial products. The core of the computing unit contains a previously developed computational-heuristic algorithm that allows detecting thin defects in the product under study based on a priori information about the reference sample of this product. The developed software system is designed on the basis of a microservice architecture, which allows dividing a monolithic application into independently operating modules. The paper also presents an algorithm for generating cracks in the object model, which allows creating the necessary set of test data close to real ones. The presented results demonstrate a significant increase in system performance compared to the previous implementation due to the use of a multi-threaded approach. The developed prototype of the system can be further developed and used to solve real problems in the field of industrial flaw detection.
The key-value separation is renowned for its significant mitigation of the write amplification inherent in traditional LSM trees. However, KV separation potentially increases performance overhead in the management of ...
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Resource provisioning is the method of making sure that the cloud service can be efficiently resourced to the customers as demand increases. Resource provisioning is the procedure of selecting, deploying, and managing...
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