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, Год журнала: 2023, Номер unknown

Опубликована: Янв. 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.

Язык: Английский

Delineation of groundwater potential zonation using geoinformatics and AHP techniques with remote sensing data DOI Creative Commons
Dechasa Diriba, Shankar Karuppannan, Tariku Takele

и другие.

Heliyon, Год журнала: 2024, Номер 10(3), С. e25532 - e25532

Опубликована: Фев. 1, 2024

Among all other valuable natural resources, groundwater is crucial for global economic growth and food security. This study aimed to delineate potential zones (GWPZ) in the Gidabo watershed of Main Ethiopian Rift. The demand supplies various applications has risen recently due rapid population upsurge. An integrated Geographical Information System, Remote Sensing, Analytical Hierarchy Process (AHP) been utilized. Eight regulating factors, including rainfall, elevation, drainage density, soil types, lineament slope, lithology, land use/land cover, have taken analysis. To assign suitable weights each factor, AHP was employed, as element contributes differently occurrence. weighted overlay analysis (WOA) technique then used ArcGIS environment integrate thematic layers generate a GWPZ map. delineated classified into five categories. poor covered 18.7 %, low 33.8 moderate 23.4 high 18.1 very 5.8 % area. Well spring data were validate model, ROC (Receiver Operating Characteristic) curve method applied. results showed good accuracy 76.8 %. result this research can be planning managing resources watershed.

Язык: Английский

Процитировано

23

Integrating Building Information Modelling (BIM) and Artificial Intelligence (AI) for Smart Construction Schedule, Cost, Quality, and Safety Management: Challenges and Opportunities DOI

Nitin Rane

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

In recent times, the construction industry has experienced notable progress, especially through amalgamation of Building Information Modelling (BIM) and Artificial Intelligence (AI). This integration holds significant potential for transforming management schedules, costs, quality, safety, thus amplifying overall efficiency efficacy projects. Nonetheless, merging BIM AI presents its own set challenges, comprehending these obstacles is crucial effectively implementing fostering this symbiotic relationship. research critically evaluates current challenges future scope linked to intelligent management. The primary predominantly revolve around data interoperability. systems frequently operate on different platforms structures, resulting in intricacies exchange synchronization. Additionally, concerns related privacy security pose substantial barriers utilization algorithms data, prompting worries about safeguarding misuse sensitive project information. Furthermore, proficient necessitates a thorough understanding algorithms, requiring comprehensive training skill development among professionals. context, underscores necessity framework education facilitate widespread adoption implementation AI-integrated practices sector. also promising prospects integration, highlighting improved decision-making processes, predictive analytics, real-time monitoring capabilities. It stresses significance establishing standardized protocols guidelines ensure seamless interoperability between systems. it emphasizes importance continuous address existing unlock full integrated approach

Язык: Английский

Процитировано

41

ChatGPT is not capable of serving as an author: ethical concerns and challenges of large language models in education DOI Open Access
Nitin Liladhar Rane, Saurabh Choudhary,

Abhijeet Tawde

и другие.

International Research Journal of Modernization in Engineering Technology and Science, Год журнала: 2023, Номер unknown

Опубликована: Окт. 12, 2023

This research delves into the dynamic role of ChatGPT and similar large language models within realm education.It sheds light on their set limitations, ethical concerns, challenges that must be addressed thoughtfully, offering a comprehensive exploration implications in various educational contexts evolving landscape teaching, research, scholarly communication.The paper initiates its by investigating how can applied scientific writing publishing.Furthermore, critically assesses constraints associated with utilizing acknowledges model's limitations generating authoritative content, comprehending complex subject matter, ensuring information accuracy.These thoroughly examined, present substantial obstacles to integration practices.The also addresses dilemmas potential pitfalls arise from heavy reliance generative AI issues bias, accountability, dissemination misinformation.These considerations emphasize importance maintaining human agency oversight settings, promoting responsible use AI.The further explores impact academic both terms augmenting productivity risks rigor authenticity work.Strategies tools for detecting mitigating instances misconduct involving AI-generated content are examined detail.Additionally, investigates enhancing critical thinking skills among students, educators, researchers.It innovative pedagogical methods leverage foster improved thinking.Moreover, considers policy, encompassing such as privacy intellectual property rights, necessity regulations education.These insights invaluable researchers, policymakers, stakeholders seeking harness benefits while navigating education.

Язык: Английский

Процитировано

37

Metaverse Marketing Strategies: Enhancing Customer Experience and Analysing Consumer Behaviour Through Leading-edge Metaverse Technologies, Platforms, and Models DOI
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane

и другие.

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

Metaverse technologies have emerged as groundbreaking tools, altering how businesses interact with consumers and analyse their behaviours. This research delves into inventive marketing strategies that emphasize enriching customer experiences understanding consumer behaviour through cutting-edge technologies, platforms, models. The provides a vibrant, immersive setting where can craft interactive, realistic encounters for clientele. Utilizing virtual reality (VR) augmented (AR) companies establish storefronts, enabling customers to explore products services in visually captivating ways. Interactive 3D models, simulations, gamified enhance engagement, facilitating personalized interactions bridge the gap between physical digital realms. Leveraging platforms such Decentraland, Roblox, VRChat, create branded spaces, host events, foster meaningful connections audience. present unprecedented opportunities real-time analysis of behaviour. Within advanced AI algorithms, machine learning, data analytics empower monitor interactions, preferences, purchasing patterns. data-centric approach marketers valuable insights behavior, them make informed decisions, optimize product offerings, tailor campaigns. Virtual eye-tracking, gesture recognition, emotional tools further offering comprehensive user engagement sentiment. Beyond conventional social media e-commerce are increasingly embracing innovative NFT (Non-Fungible Token) marketplaces, decentralized autonomous organizations (DAOs), blockchain-based economies reshaping marketplace. Smart contracts blockchain technology ensure transparency, security, authenticity, fostering trust among consumers. As these they new avenues monetization, collaborations, community building. By leveraging experiences, analytics, satisfaction, gain actionable insights, maintain competitive edge landscape. Embracing represents more than just passing trend; it signifies transformative journey, unparalleled thrive age.

Язык: Английский

Процитировано

36

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

и другие.

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 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.

Язык: Английский

Процитировано

36

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

и другие.

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 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.

Язык: Английский

Процитировано

29

Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios DOI Open Access
Saif Haider, Muhammad Umer Masood, Muhammad Rashid

и другие.

Water, Год журнала: 2023, Номер 15(19), С. 3421 - 3421

Опубликована: Сен. 28, 2023

Assessing the impacts of climate change and land use/land cover changes on water resources within a catchment is essential because it helps us understand how these dynamic factors affect quantity, quality, availability freshwater. This knowledge crucial for making informed decisions about management, conservation, adaptation strategies, especially in regions facing increasing environmental uncertainties challenges to resource sustainability. In Pakistan’s Kunhar River Basin (KRB), this investigation explores potential effects shifting (LULC), stream flows. The SWAT (Soil Water Assessment Tool), semi-distributed hydrological model, most recent Coupled Model Intercomparison Project phase 6 (CMIP6) dataset from multiple global models (GCMs) were used evaluate effects. temperature precipitation data downscaled using CMhyd software; both shared socioeconomic pathways (SSP2 SSP5), top-performing GCM out four was required produce predictions while taking future use characteristics into account. output chosen indicated that by conclusion 21st century, relative reference period (1985–2014), study area’s average monthly precipitation, highest temperature, lowest will be increasing. Precipitation anticipated increase between 2015 2100 20.5% 29.1% according SSP2 SSP5 scenarios, respectively. study’s findings, which emphasize need project planners managers account their management techniques, show can have significant impact changing seasons flows basin.

Язык: Английский

Процитировано

28

Potential Role and Challenges of ChatGPT and Similar Generative Artificial Intelligence in Architectural Engineering DOI

Nitin Rane

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

The incorporation of generative artificial intelligence (AI) systems, such as ChatGPT, holds great potential in reshaping diverse facets architectural engineering. This research investigates the profound influence AI technologies on structural engineering, HVAC (Heating, Ventilation, and Air Conditioning) electrical plumbing fire protection sustainability, net zero, green building design, information modeling (BIM), urban planning, project management. In ChatGPT's capacity to analyse extensive datasets simulate intricate structures expedites design process, ensuring integrity while optimizing materials costs. it aids devising energy-efficient systems climate control solutions, significantly contributing sustainable practices. Similarly, AI's capabilities enhance optimization both safety reliability. ChatGPT assists creating efficient layouts suppression compliance with regulations. Moreover, plays a pivotal role advancing sustainability design. By evaluating environmental factors suggesting eco-friendly designs, fosters development environmentally responsible structures. domain BIM, facilitates seamless collaboration, automates model generation, improves clash detection, streamlined execution. Nevertheless, integration engineering presents challenges. Ethical concerns, data security, necessity for skilled professionals interpret AI-generated insights are significant issues. delves into these contribution challenges effectively harness AI, paving way transformative era

Язык: Английский

Процитировано

28

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

Jayesh Rane

и другие.

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 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.

Язык: Английский

Процитировано

27

Contribution and performance of ChatGPT and other Large Language Models (LLM) for scientific and research advancements: a double-edged sword DOI Open Access
Nitin Liladhar Rane,

Abhijeet Tawde,

Saurabh Choudhary

и другие.

International Research Journal of Modernization in Engineering Technology and Science, Год журнала: 2023, Номер unknown

Опубликована: Окт. 12, 2023

This study focuses on evaluating the performance and potential contributions of ChatGPT, a generative artificial intelligence model, to advancement scientific research fields, including public health, climate change, computer programming, education etc.The commences by examining role ChatGPT in publishing, demonstrating how it can streamline creation content, thereby enhancing accessibility dissemination knowledge.In context health medical writing, investigates transform healthcare assisting professionals researchers generating accurate informative documents, contributing significantly widespread critical information advancements.In fight against change global warming, emerges as promising tool for addressing challenges related data analysis, prediction modeling, communication.The explores support scientists policymakers synthesizing intricate data, creating effective communication materials, mobilizing awareness action.Furthermore, assesses ChatGPT's field where aid developers debugging programming errors.Its ability comprehend generate code snippets streamlines problem-solving, boosting software development efficiency quality.The extends its examination across various domains, education.Additionally, delves into opportunities associated with integrating large language models like education.It enhance learning experience, automate administrative tasks, deliver personalized educational content.Simultaneously, addresses concerns bias, ethics, privacy.This underscores significant advancing endeavors multiple domains.It emphasizes importance responsible ethical utilization AI recognizing they offer expedite progress address challenges, all while remaining vigilant about societal implications.

Язык: Английский

Процитировано

26