Booster of IoMT in Diagnostics and Disease Screening

Advances in healthcare information systems and administration book series, Год журнала: 2025, Номер unknown, С. 243 - 266

Опубликована: Янв. 17, 2025

The global landscape of healthcare is witnessing a transformative shift with the integration artificial intelligence (AI) in disease screening and pandemic outbreak management. Disease serves as critical component proactive healthcare, enabling early detection intervention. Traditional methods, while effective, often face limitations terms scalability, speed, accuracy. emergence AI has opened new avenues for enhancing processes, allowing more efficient precise identification potential health threats. These technologies enable professionals to analyze vast datasets quickly accurately, facilitating diagnosis This chapter explores various dimensions evolving role prioritizing managing outbreaks, focus on innovative approaches mass vaccine scattering. management holds immense promise future healthcare.

Язык: Английский

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Uncover Ethical Issues in Neurodisorder Diagnosis Advancing Medical Research Through Neuroscience

Advances in medical education, research, and ethics (AMERE) book series, Год журнала: 2025, Номер unknown, С. 375 - 398

Опубликована: Янв. 10, 2025

Neuroscience discoveries are revolutionizing knowledge of the brain and opening door to possible cures for illnesses that were thought be incurable. But these developments also bring up difficult moral issues such whether it is ethically acceptable modify memories, improve cognitive function, or read minds. Psychiatry addresses complex questions. The conditions psychiatrists treat frequently jeopardize characteristics make people unique, as autonomy, accountability personal development. These typically result in severe pain, substantial disability, societal shame, despite fact those who suffer from them exhibit incredible fortitude resiliency. While there ethical relevance any medical activity, psychiatry unique this way. This chapter focuses on diverse arena neurodisorder diagnosis advancing research through neuroscience with computational intelligence focusing compassionate psychiatric treatments.

Язык: Английский

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Role of Digital Marketing Tactics in Enhancing Financial Performance in E-Commerce Enterprises

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 257 - 282

Опубликована: Фев. 28, 2025

In recent years, the exponential growth of e-commerce has revolutionized how businesses operate and interact with consumers. This surge in online shopping been accompanied by a parallel rise digital marketing strategies employed companies to attract, engage, retain customers. Digital encompasses various techniques, including search engine optimization (SEO), social media marketing, content email pay-per-click advertising. The effectiveness these enhancing company's financial performance become subject significant interest scrutiny. Companies can boost their bottom line achieve greater profitability reducing customer acquisition costs, increasing lifetime value, improving overall efficiency. E-commerce could better reach target audience on channels brand visibility driving traffic websites.

Язык: Английский

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AI and ML Applications in Wildlife Conservation and Forest Management

Advances in environmental engineering and green technologies book series, Год журнала: 2024, Номер unknown, С. 49 - 68

Опубликована: Ноя. 29, 2024

AI and ML have opened new avenues into wildlife conservation, linking efforts worldwide to improve forest management. However, a comprehensive review highlights the manifold applications of these technologies for biodiversity conservation natural resource These are automated species identification population monitoring predict habitat degradation anti-poaching strategies, all contributing immensely preservation Wildlife. This chapter outlines how AI-powered drones sensor networks can quickly monitor environments, find illegal actions as they happen, collect reams data on behavior. It also explores opportunities algorithms study intricate ecological inter-relationships, climate change effects & optimize restoration management activities. provide roadmap great promise that emergent hold in providing configurations Wildlife Conservation Forest Management promote Sustainable future.

Язык: Английский

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Exploring the Biological Relevance of Fused S-Heterocycle Phenothiazine Derivatives

Advances in bioinformatics and biomedical engineering book series, Год журнала: 2024, Номер unknown, С. 373 - 396

Опубликована: Ноя. 27, 2024

Phenothiazine and its derivatives have attracted a noteworthy attention within the medicinal chemistry' domain ascribed to varied pharmacological activities possible medically-beneficial applications. Fused S-heterocycle being most promising among all has displayed showcased results in numerous biological evaluations. Phenothiazines are one of class compounds categorized by tricyclic structure which is comprised central thiazine ring merged with two benzene rings. Such rings incorporate presence sulphur atoms acts as catalyst undergo various substitutions on that eventually versatility phenothiazines. The chapter focuses holistic understanding relevance fused s-heterocycle phenothiazine would highlight elucidate potential derivative's development therapeutic agent.

Язык: Английский

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Sustainable Waste Segregation, Sorting and Collection Protocols in Rural Touristic Areas

Advances in environmental engineering and green technologies book series, Год журнала: 2024, Номер unknown, С. 309 - 328

Опубликована: Ноя. 29, 2024

The waste management in rural touristic area is essential both for the environmental sustainability and quality of experience. Advanced segregation, sorting collection protocols helps cutting pollution, saving resources better public health. Industrial Internet Things technologies offer a fresh perspective to transform systems making them efficient sustainable. Waste segregation means separating at source into different categories areas such as organic, recyclable non-recyclable. Sorting facilities deal with these have literally based their operations on including automated machines, enhanced speed sensors accuracy. This chapter focuses deploying IIoT-based & followed by smart disposal destinations can help elevate another level. Implementation way that Singapore has done worthy blueprint, charting course increased efficiency protection our environment.

Язык: Английский

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Role of Machine Learning and Deep Learning in Forest Management Through Data Analytics

Advances in environmental engineering and green technologies book series, Год журнала: 2024, Номер unknown, С. 247 - 272

Опубликована: Ноя. 29, 2024

Everyone must create a good framework to handle environmental, financial, and social issues if we are move towards sustainability. Many researchers have used artificial intelligence (AI) machine learning forward sustainable development goals by building highly efficient system that supports circular economy aligns the needs of current generation while safeguarding capacities future generations. Artificial has made significant progress in recent years, leading changes various industries including healthcare, transportation, agriculture, energy, media. This paper offers comprehensive analysis junction between sustainability together with several possible directions for next investigation.

Язык: Английский

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Wildlife and Forest Resource Management With Artificial Intelligence

Advances in environmental engineering and green technologies book series, Год журнала: 2024, Номер unknown, С. 301 - 324

Опубликована: Ноя. 29, 2024

The incorporation if AI in the management of wildlife and forest assets can transform conservation challenges by providing new ways to protect biodiversity ensure ecosystem sustainability. Machine learning, computer vision other technologies are monitor populations with high accuracy. These include tools that enable analyses vast datasets collected from remotely sensed including drones, satellite imagery for real-time dynamics. Though provides many benefits, there numerous issues must be tackled around all things data privacy ethical considerations necessity a transactional or multi-disciplinary attempt on it. This chapter comprehensively explores used sustainable resources humans thought they might not manage forever because it is important keep them alive.

Язык: Английский

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Artificial Intelligence and Machine Learning in VLSI

Advances in computational intelligence and robotics book series, Год журнала: 2024, Номер unknown, С. 319 - 340

Опубликована: Дек. 13, 2024

The revolution of energy management in Very Large Scale Integration (VLSI) can be realized for lower power and sustainability with Artificial Intelligence (AI) Machine Learning (ML) as an essential tool to maintain the smart city. Reduction size is origin very-scale integrated technology that permits usual more complex circuit building also achieves higher densities electronics systems. AI ML machines optimize performance these systems resulting a clean yield, solving some or all supporting cities equitable access touted achieved. This chapter focuses on minimizing waste, predicting maintenance intervals critical infrastructures, integrating into grids robust renewable generation - are blocks smarter will consume fewer resources while generating increasingly efficient services.

Язык: Английский

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Cruising Deep Convolution Neural Networks (DCNN) and Internet of Medical Things (IoMT) Fostering Smart Healthcare

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 211 - 240

Опубликована: Дек. 13, 2024

Deep Convolutional Neural Networks (DCNN) enable smart healthcare by way of internet connected medical devices referred to as the Internet Of Medical Things (IoMT) in modern day medicine Through integration intelligent sensors, wearables and equipment well its application long-term real-time patient health monitoring IoMT is enabling continuous care coupled with predictive analytics. It enables physicians other team members make better informed, more timely treatment decisions tailored for specific order keep them out hospital. The use both these technologies together creating a new era remote management, topic illness surveillance prevention which help improving overall proactive approach patients would will prove results over accessibility, efficiency control making every individual healthier.

Язык: Английский

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