Leading-edge Artificial Intelligence (AI) and Internet of Things (IoT) technologies for enhanced geotechnical site characterization DOI
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane

et al.

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

Geotechnical site characterization is a crucial factor in the effective planning, design, and implementation of civil engineering projects. In evolving landscape infrastructure development, integration advanced technologies such as Artificial Intelligence (AI) Internet Things (IoT) has emerged transformative strategy to improve precision efficiency geotechnical processes. This article delves into combined application AI IoT characterization, encompassing diverse range technologies, models, tools, frameworks. AI, utilizing its machine learning algorithms, capacity analyse extensive geospatial geological data, facilitating more accurate identification subsurface conditions. Neural networks deep models play role examining features, predicting soil behaviour, evaluating potential risks associated with construction conjunction incorporation enables real-time monitoring data acquisition at sites. Ground-embedded sensor gather geophysical including moisture, temperature, pressure, providing dynamic continuous understanding feeds creating feedback loop that refines predictions enhances characterization. Moreover, introduces various tools frameworks facilitate seamless engineering. Geographic Information Systems (GIS) are employed for spatial analysis, aiding visualization interpretation complex data. Additionally, Building Modelling (BIM) explored means integrate information overall project promoting holistic approach planning. Embracing this technological synergy essential addressing challenges modern development ensuring sustainability resilience projects future.

Language: Английский

Hyper-personalization for enhancing customer loyalty and satisfaction in Customer Relationship Management (CRM) systems DOI
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane

et al.

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

In the dynamic realm of customer-centric business models, organizations are increasingly adopting advanced technologies and strategies to augment capabilities Customer Relationship Management (CRM) systems. This study delves into transformative concept hyper-personalization its profound impact on enhancing customer loyalty satisfaction within CRM frameworks. Key enablers artificial intelligence (AI) machine learning (ML), which play a pivotal role in this evolution. These empower systems analyse extensive datasets, extracting valuable insights individual behaviours, preferences, needs. The incorporation predictive analytics recommendation engines allows real-time customization interactions, ensuring customers receive personalized content, product recommendations, communication channels tailored their unique profiles. paper explores tools integral strategies, underscoring importance data-driven decision-making. data platforms (CDPs) highlighted as essential that unify disparate sources create comprehensive profile. Additionally, segmentation assist categorizing based diverse criteria, facilitating targeted interactions. integration these enhances ability deliver contextually relevant experiences, fostering stronger emotional connections between brands. for involve multi-faceted approach, encompassing proactive communication, marketing campaigns, adaptive journeys. evaluates effectiveness personalization, where dynamically adjust content offers seamless experience. Furthermore, examines omnichannel hyper-personalization, exploring how various touchpoints contributes cohesive journey. By embracing can cultivate enduring relationships, ultimately driving enhanced today's competitive landscape.

Language: Английский

Citations

38

Sustainable tourism development using leading-edge Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Augmented Reality (AR) and Virtual Reality (VR) technologies DOI
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane

et al.

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

This research paper delves into the potential for transformation by incorporating cutting-edge technologies such as Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Augmented Reality (AR), and Virtual (VR) to foster sustainable development tourism. The contemporary tourism industry confronts unprecedented challenges, including environmental degradation, cultural disruption, socio-economic imbalances. investigation explores innovative application advanced a comprehensive solution tackle these challenges propel sector toward more future. emerges pivotal facilitator in enhancing operations decision-making processes. Leveraging predictive analytics, machine learning, natural language processing, AI contributes optimized resource allocation, personalized visitor experiences, formulation data-driven sustainability strategies. Blockchain technology, recognized its decentralized transparent nature, is utilized establish secure traceable supply chains, ensuring equitable economic distribution minimizing impact travel. (IoT) assumes central role creating intelligent interconnected ecosystems. IoT devices enable real-time monitoring conditions, empowering destination management organizations implement adaptive measures conservation. Furthermore, enhance safety satisfaction through context-aware services. (AR) offer immersive experiences that redefine how tourists interact with destinations. AR enriches historical context attractions, fostering deeper understanding appreciation local heritage. Meanwhile, VR enables virtual reducing need physical travel consequently mitigating carbon footprints. findings underscore technology-driven approach practices, long-term environmental, social, sustainability.

Language: Английский

Citations

31

Blockchain and Artificial Intelligence (AI) integration for revolutionizing security and transparency in finance DOI
Nitin Liladhar Rane, Saurabh Choudhary,

Jayesh Rane

et al.

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The convergence of Blockchain technology and Artificial Intelligence (AI) is exerting a transformative influence, ushering in new epoch security transparency within the financial sector. This amalgamation effectively addresses pivotal challenges faced by conventional systems, presenting inventive solutions to heighten efficiency, diminish fraud, amplify transparency. Blockchain, functioning as decentralized tamper-resistant ledger, introduces paradigm shift transactions. Its capacity establish an unalterable record transactions ensures that once data recorded, it remains impervious modification, thereby furnishing unparalleled level security. inherent attribute positions optimal choice for reinforcing systems against cyber threats fraudulent activities. On other hand, AI contributes predictive analytics, machine learning, automation forefront operations. integration finance enables real-time analysis, risk assessment, decision-making, optimizing processes elevating overall efficiency. When amalgamated with augments precision dependability data, cultivating more secure transparent ecosystem. A aspect this streamlining Know Your Customer (KYC) Anti-Money Laundering (AML) processes. nature facilitates storage customer mitigating identity theft, while algorithms adeptly analyze extensive datasets pinpoint flag suspicious not only but also adherence regulatory requirements. Smart contracts, distinctive feature automate enforce contractual agreements, diminishing reliance on intermediaries minimizing probability human error. can be seamlessly integrated into these contracts enhance their adaptability responsiveness evolving market conditions, further refining ushered all stakeholders have access singular version truth, fostering trust Furthermore, incorporation fraud detection management heightens proactive identification potential threats, safeguarding institutions clientele. As increasingly embrace integration, industry stands brink revolution safeguards existing paves way innovative efficient ecosystems.

Language: Английский

Citations

28

Artificial Intelligence (AI) and Internet of Things (IoT) - based sensors for monitoring and controlling in architecture, engineering, and construction: applications, challenges, and opportunities DOI

Nitin Rane,

Saurabh Choudhary, Jayesh Rane

et al.

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The fusion of Artificial Intelligence (AI) and the Internet Things (IoT) has brought about a paradigm shift in realm architecture, engineering, construction (AEC), introducing intelligent sensing technologies that significantly enhance monitoring control. This study delves into varied applications, hurdles, prospects emerging from collaborative deployment AI IoT-based sensors within AEC domain. AI-equipped smart enable real-time structural health, energy consumption, environmental conditions both buildings infrastructure. These empower predictive maintenance, ensuring durability structures while minimizing downtime. Additionally, AI-driven analytics optimize resource allocation, improve safety protocols, streamline processes, thereby enhancing overall project efficiency. Through ongoing analysis data collected by integrated HVAC systems, elevators, lighting, maintenance teams can pre-emptively tackle potential malfunctions. Furthermore, synergy between IoT enables development with adaptive features. Sensors examine occupancy patterns, lighting preferences, temperature fluctuations play pivotal role crafting energy-efficient occupant-centric building designs. security privacy concerns associated sensor-generated give rise to critical issues necessitate robust cybersecurity measures. Interoperability challenges among diverse sensor networks platforms also present obstacles seamless integration. adoption these demands substantial investments infrastructure workforce training, requiring strategic approach for widespread acceptance. paper explores how capabilities contribute risk mitigation cost reduction across entire lifecycle. Moreover, ability collect analyze vast amounts empowers stakeholders make well-informed decisions, fostering innovation sustainability industry. By addressing underscoring benefits, it provides invaluable insights industry professionals, researchers, policymakers eager harness transformative construction.

Language: Английский

Citations

26

Enhanced product design and development using Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), 4D/5D/6D Printing, Internet of Things (IoT), and blockchain: A review DOI

Nitin Rane,

Saurabh Choudhary, Jayesh Rane

et al.

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

This research paper offers a thorough examination of the incorporation state-of-the-art technologies, such as Artificial Intelligence (AI), Virtual Reality (VR), Augmented (AR), 3D Printing, Internet Things (IoT), and Blockchain, with aim revolutionizing elevating product design development process. As industries undergo transformation seek inventive solutions, convergence these technologies emerges revolutionary strategy to streamline workflows, encourage collaboration, achieve unprecedented efficiencies. The utilization AI in is investigated pivotal catalyst, enabling automated analysis extensive datasets extract valuable insights. algorithms play crucial role intelligent decision-making, predicting trends, optimizing parameters, facilitating swift prototyping. are employed construct immersive environments, designers interact virtual prototypes real-time gain perspectives prior physical production. explores impact 4D/5D/6D Printing converting conceptual designs into tangible prototypes, expediting iterative process, reducing time-to-market. Furthermore, (IoT) scrutinized for its potential enhance functionality by incorporating smart sensors connectivity, allowing monitoring, data-driven improvements throughout lifecycle. Additionally, integration Blockchain technology examined ability establish transparent secure collaboration frameworks. ensures traceability iterations, safeguards intellectual property, cultivates trust among stakeholders decentralized ecosystem. cohesive presented comprehensive approach redefine traditional paradigms. concludes outlining future prospects this integrated approach, emphasizing necessity ongoing unlock full fostering innovation reshaping landscape development.

Language: Английский

Citations

26

Explainable Artificial Intelligence (XAI) Approaches for Transparency and Accountability in Financial Decision-Making DOI
Nitin Liladhar Rane, Saurabh Choudhary,

Jayesh Rane

et al.

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

Recently, there has been a growing trend in incorporating Artificial Intelligence (AI) into financial decision-making, prompting concerns about the transparency and accountability of these intricate systems. This study investigates impact Explainable (XAI) approaches alleviating improving decision-making processes. The paper commences by outlining current landscape AI applications finance, underscoring complex opaque nature advanced machine learning models. lack interpretability models presents significant challenge, as stakeholders, regulators, end-users often struggle to comprehend reasoning behind AI-driven decisions. opacity raises questions regarding trust, particularly critical scenarios. primary focus research centers on analysis implementation XAI techniques introduce Various methods, including rule-based systems, model-agnostic approaches, interpretable models, are scrutinized for their effectiveness producing understandable explanations explores how can be tailored meet distinct requirements domain, where is essential regulatory compliance stakeholder confidence. Moreover, delves potential mechanisms within institutions. By offering model outputs, not only enhances but also empowers professionals identify rectify biases, errors, or unethical behaviour algorithms. promoting accountability, addresses ethical facilitates responsible trustworthy deployment sector. This, turn, contributes advancement fair, reliable, secure

Language: Английский

Citations

25

YOLO and Faster R-CNN object detection for smart Industry 4.0 and Industry 5.0: applications, challenges, and opportunities DOI
Nitin Liladhar Rane

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The rise of Industry 4.0 and the emerging paradigm 5.0 have driven unprecedented technological progress in various fields. Central to this transformation are real-time object detection technologies, notably You Only Look Once (YOLO) Faster Region Convolutional Neural Network (Faster R-CNN) algorithms. This study thoroughly examines applications, challenges, prospects YOLO R-CNN diverse industrial domains. In realm automation, these algorithms redefined efficiency safety standards by enabling rapid precise recognition, thus enhancing overall production workflows. Furthermore, construction industry has experienced significant advancements project management site safety, thanks accurate identification materials equipment. healthcare, revolutionized patient care facilitating medical instruments anomalies, thereby improving diagnostics treatment processes. integration into autonomous vehicles substantially enhanced their capabilities, ensuring superior road navigation. Additionally, precision agriculture, streamlined crop management, leading increased agricultural productivity sustainability. Moreover, retail e-commerce sectors undergone a shift with personalized customer experiences efficient inventory all powered technologies. Despite remarkable advancements, paper explores challenges such as data privacy concerns, computational complexity, ethical considerations. Addressing opens unique avenues for further research innovation. Lastly, environmental monitoring also benefited from algorithms, tracking analysis changes informed decision-making towards sustainable future. illuminates transformative potential detection, paving way ongoing upcoming 5.0. These technologies shaping smarter, more connected, future across sectors.

Language: Английский

Citations

23

ChatGPT in education: benefits and challenges of ChatGPT for mathematics and science teaching practices DOI
Osama Taani, Suzan Alabidi

International Journal of Mathematical Education in Science and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 30

Published: May 28, 2024

This study investigates the utilisation and perceptions of artificial intelligence (AI) applications among mathematics science teachers in enhancing students' learning experience classrooms. One prominent AI application this research seeks to explore, given its recent rise popularity usage, is ChatGPT. The aims explore frequency purpose ChatGPT potential for student engagement, implementation's perceived effectiveness, benefits, challenges. A sample 109 respondents was surveyed gather insights into usage patterns findings shed light on how utilise ChatGPT, including generating examples, assessing difficulty, providing explanations, supporting problem-solving, test preparation. Additionally, reveals that shows promise engagement understanding. However, highlighted challenges such as accuracy, connectivity, language limitations. These contribute our understanding role technologies, specifically educational settings provide valuable effective integration teaching practices various course contents topics.

Language: Английский

Citations

9

A Scoping Survey of ChatGPT in Mathematics Education DOI Creative Commons
Birgit Pepin, Nils Buchholtz, Ulises Salinas-Hernández

et al.

Digital Experiences in Mathematics Education, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 17, 2025

Language: Английский

Citations

1

Integrating ChatGPT, Bard, and leading-edge generative artificial intelligence in architectural design and engineering: applications, framework, and challenges DOI

Nitin Rane,

Saurabh Choudhary, Jayesh Rane

et al.

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

This research paper delves into the integration of advanced generative artificial intelligence (AI) models, such as ChatGPT, Bard, and similar architectures, within realms architectural design engineering. The comprehensive study explores various aspects, including applications, frameworks, challenges, prospective developments in context In domain design, investigates transformative impact on Architectural Theory, highlighting how AI fosters creativity innovation thinking. Design Process is scrutinized, showcasing models streamline ideation, iteration, collaboration among teams. role Representation Visualization explored, emphasizing its capacity to generate immersive realistic visualizations. Furthermore, examines influence Interior Design, Urban Planning, considers nuanced aspects Cultural Social factors, elucidating these technologies contribute inclusive context-sensitive practices. Within realm engineering, assesses Structural Engineering, demonstrating potential optimize innovate structural analysis designs for enhanced safety efficiency. It applications Building Systems Construction Management, illustrating can project workflows resource allocation. compliance with Codes Regulations analyzed, error reduction adherence standards. Additionally, probes Materials Technology, advancements material selection construction methodologies. also promoting Sustainability Environmental energy efficiency, reduce environmental impact, enhance overall sustainability. While presenting critically evaluates challenges posed by integrating domains, ethical considerations, bias mitigation, user adaptability. Finally, it outlines future directions development, necessity interdisciplinary collaboration, guidelines, ongoing fully harness shaping

Language: Английский

Citations

20