Dr. Mohd Aarif attended the prestigious Aligarh Muslim University in Aligarh, UP, India, where he earned both a PhD and an MBA in tourism management. He has been an educator, mentor, researcher, and author for many years. He co-founded the Myra Institute of Skill and Development in Gurugram.
In addition to being a founding member of the CAG Study Center, he also contributes as the Global Research Network's editor-publication. Three books and over twenty-five research publications in journals with citation databases such as Scopus, SCI, ESCI, and UGC-CARE bear his name.
His email address is drmohd03@
The role of 5G in creating smart cities for achieving sustainable goals: Analyzing the opportunities and challenges through the MANOVA approach Mano Ashish Tripathi, Sujay Vikram Singh, Yaisna Rajkumari, N. Geethanjali, Devendra Kumar, et al. Advanced Technologies for Realizing Sustainable Development Goals 5g AI Big Data Blockchain and Industry 4 0 Application, 2024 The next generation of mobile technology, known as 5G, poses a huge challenge to the existing state of the communications industry since it intends to solve the issues that have plagued the 4G network in its current iteration. This cutting-edge technology enables the establishment of multiple connections all at once and maintains network ubiquity even in settings that involve high levels of mobility or densely populated areas. As a result, smart cities and intelligent transport systems may stand to benefit from its use. 5G will make it possible for the actual Internet of Things and the Internet of Vehicles to become a reality if this plan is implemented. The advent of 5G will herald the beginning of a new era of opportunities for networks and services. It will help in maintaining an increased data rate, reduced latency, huge simultaneous connections, and ubiquity of networks around the world. 5G will also be a crucial enabler for a true Internet of Things because of its capacity to connect a vast number of sensors and actuators while following severe energy efficiency and transmission limits.The Internet of Things (IoT), a new digital communication paradigm, has made it possible for things that are often found in daily life to interact with one another as well as with people [6]. As a result, the objective of the Internet of Things is to expand both the breadth and depth of the Internet. This will be accomplished by making it easier for a wide variety of devices, including vehicles, home appliances, security cameras, industrial actuators, and many more, to interact with one another in an unobtrusive manner. When 5G is applied to the Internet of Things in cities, it may be able to keep track of the total amount of energy that is consumed by all of the city's public services (including lighting, traffic lights, security cameras, and the heating and cooling of public buildings, amongst other things). Municipalities will, among other things, be able to manage their energy resources more effectively if they have access to this information.
The role of big data analytics as a critical roadmap for realizing green innovation and competitive edge and ecological performance for realizing sustainable goals Mano Ashish Tripathi, Indrajit Goswami, Bhadrappa Haralayya, M. Parveen Roja, Mohd Aarif, et al. Advanced Technologies for Realizing Sustainable Development Goals 5g AI Big Data Blockchain and Industry 4 0 Application, 2024 Big data analytics (BDA), as an important tool, is now available to companies who are struggling with problems related to sustainability. However, there are not many case studies of BDA in the academic literature, despite the fact that it has the potential to increase the eco-efficiency of manufacturing. This study focuses specifically on the manufacturing sector to investigate the impact of BDA on green innovation (GI), competitive advantage (CA), and environmental performance (EP) in the context of the manufacturing industry. Big data analytics, also known as BDA, is a relatively new field that has emerged as a result of the growth of contemporary computers and their various uses. The relatively new subjects of business data analytics (BDA) and business analytics (BA) have piqued the attention of both working professionals and academics. The purpose of this article is to conduct an analysis of the influence that Big Data has had on four important performance indicators: innovation, competitive advantage, productivity growth, and support with decision-making. Big data may help organizations obtain vital insights about their consumers, products, and operations, despite the fact that it does come with a few negatives. Businesses are in a better position to quickly implement new ideas, provide better service to customers, increase efficiency, make decisions that are better informed, and ultimately outperform their rivals when they have access to data insights. The expansion in both the amount andquality of the data that is now accessible has led to improvements in the capacities of organizations as well as the opening of new doors leading to growth. Businesses are renouncing established practices in favor of new, inventive, and innovative techniques in order to redefine creativity, competitiveness, and productivity. It is vital, for the sake of achieving sustainable objectives, to have an understanding of big data analytics as a critical component of the road map for green innovation, competitive advantage, and ecological performance.
An empirical investigation into the role of Industry 4.0 tools in realizing sustainable development goals with reference to fast moving consumer foods industry Ghada Elkady, Ahmed Sayed, Shanmugha Priya, B. Nagarjuna, Bhadrappa Haralayya, et al. Advanced Technologies for Realizing Sustainable Development Goals 5g AI Big Data Blockchain and Industry 4 0 Application, 2024 In recent years, there have been a number of challenges that have posed a danger to the food security of the globe. These issues include the growing population of the world, the consequences of climate change, and the emergence of new pandemics. Because of this, it is of utmost importance that we come up with innovative strategies to strengthen the food system's resilience in the face of these challenges. The technologies that underpin the Fourth Industrial Revolution (also known as Industry 4.0) are causing widespread upheaval throughout a wide range of production and consuming businesses, including the food and agriculture industries. This chapter will provide a general overview of green technology and Industry 4.0 strategies, focusing on how they apply to the food sector. We are going to focus on and investigate the linkages between green food technologies, such as green preserving, processing, extraction, and analysis, and the enablers of Industry 4.0, such as artificial intelligence, big data, smart sensors, robotics, blockchain, and the Internet of Things. Green food technologies include those that preserve food without the use of harmful chemicals, as well as those that extract and analyze food's constituents. The Sustainable Development Goals (also known as SDGs) are relevant to these linkages. The Sustainable Development Goals (SDGs) are becoming increasingly difficult to achieve without the help of environmentally friendly technologies and the Fourth Industrial Revolution. These advances have the potential to speed up digital and ecological transitions in fast moving consumer goods, which will have positive effects not just on individuals but also on the planet. With the assistance of green and digital solutions, which are anticipated to be implemented at a larger rate in the next years, it is conceivable to realize a future that is not only more robust but also healthier, more intelligent, and friendlier to the environment.
A critical investigation into the impact of big data in the food supply chain for realizing sustainable development goals in emerging economies Ghada Elkady, Ahmed Sayed, Rupam Mukherjee, D. Lavanya, Dyuti Banerjee, et al. Advanced Technologies for Realizing Sustainable Development Goals 5g AI Big Data Blockchain and Industry 4 0 Application, 2024 In light of the present circumstances, corporate executives, government officials, and academics may now place a higher priority on the collection and analysis of crucial data as a potent instrument for solving the issues of managing the contemporary food supply chain. As food and beverage (F&B) companies place a greater emphasis on collecting, processing, and analyzing relevant data from a variety of sources throughout their respective food systems, data management has become an invaluable resource in modern food supply chains (FSCs). This is because modern FSCs are designed to be more efficient than traditional supply chains. In this context, the phrase “big data” (BD) has only very recently begun to be used to refer to huge quantities of heterogeneous and geographically dispersed data assets that have fast rates of change, a wide variety of sizes, and high volumes of information. Recent research has stated that implementing BD in FSCs might result in a yearly gain in value that ranges from USD 120 billion to USD 150 billion. The current study is focused on analyzing the impact of big data in the food supply chain for realizing sustainable development goals in emerging economies. The researcher intends to collect data from primary and secondary sources. This paper focuses on understanding the conceptual framework that incorporates the relationship between FSC performance and BD applications.
Sustainable agriculture and the SDGs: A convergence approach Muhammad Asim, Aamir Raza, Muhammad Safdar, Mian Muhammad Ahmed, Amman Khokhar, et al. Sustainable Practices for Agriculture and Marketing Convergence, 2024 This chapter explores the connection between sustainable agriculture and the Sustainable Development Goals (SDGs). It discusses various practices like conservation agriculture, organic farming, agroforestry, and precision agriculture, and how they contribute to various SDGs. It focuses on SDG 2 (Zero Hunger), SDG 6 (Clean Water and Sanitation), SDG 15 (Biodiversity Preservation), and SDG 1 and 8 (Rural Development). The chapter also discusses barriers to widespread adoption, including economic, technological, and sociocultural factors. It uses case studies to illustrate successful models and offers policy recommendations, emphasizing national policies aligning with sustainable agriculture, fostering international cooperation, and investing in education and capacity building. The chapter provides valuable insights for policymakers, researchers, and practitioners in agriculture, sustainability, and development.
Biometric-Based Access Control Systems with Robust Facial Recognition in IoT Environments B.V. Satish Babu, J. Manoranjini, Ravindra Changala, Mohd Aarif, S. Suma Christal Mary, et al. 2024 IEEE International Conference on Intelligent Techniques in Control Optimization and Signal Processing Incos 2024 Proceedings, 2024 The integration of biometric-based access control systems with robust facial recognition technology within Internet of Things (IoT) environments holds paramount significance in addressing contemporary security challenges. The novelty of the research endeavours to contribute to this critical area by investigating and implementing a novel approach, employing Convolutional Neural Networks (CNN) for facial classification within the biometric framework. The significance of this study lies in its potential to enhance security measures in IoT environments, ensuring reliable and efficient access control. Previous attempts at integrating facial recognition into IoT have encountered notable challenges, including suboptimal accuracy, vulnerability to adversarial attacks, and scalability issues. This research builds upon these prior issues by introducing CNN for facial classification, leveraging its capabilities in image processing and pattern recognition to achieve enhanced accuracy and resilience against potential security threats. The novelty of the study is underscored by the application of CNN within the biometric context of IoT, offering a cutting-edge solution tailored to the intricacies of interconnected devices. Experiments conducted on benchmark datasets showcase the promising capabilities of the proposed system, with face recognition accuracies reaching an impressive 98%. These results underscore the potential of this research to significantly advance the state-of-the-art in biometric-based access control, particularly within the context of IoT environments. The utilization of CNN introduces a pioneering element, contributing to the evolution of secure and efficient access control solutions in the era of IoT.
Creating A Resilient Blockchain Framework To Enhance The Efficiency And Security Of Data Management Within Internet Of Things Networks A Balavivekanandhan, Annapurna Gummadi, Mohd Aarif, Narinder Kumar Bhasin, Kamal Gulati, et al. 2024 3rd International Conference on Smart Technologies and Systems for Next Generation Computing Icstsn 2024, 2024 The Internet of Things (IoT) has revolutionized the way devices interact and share information, creating a vast network of interconnected devices. Studyproposed a robust blockchain framework tailored for the unique requirements of IoT environments to address these challenges. The proposed blockchain framework aims to enhance data integrity, security, and efficiency in IoT networks by leveraging the decentralized and tamper-resistant nature of blockchain technology. By incorporating smart contracts, the framework enables autonomous and secure execution of predefined rules, ensuring transparent and trustworthy interactions among IoT devices. The use of consensus algorithms specific to IoT requirements enhances the efficiency of data validation and ensures timely and accurate information dissemination. Furthermore, the framework focuses on scalability to accommodate the growing number of devices in IoT networks without compromising performance. Through the integration of consensus mechanisms and optimized data structures, the proposed solution minimizes the computational overhead associated with blockchain operations in resource-constrained IoT devices. By enhancing security, efficiency, and scalability, the study establishes the development of resilient and trustworthy IoT ecosystems, fostering innovation and growth in the rapidly evolving landscape of interconnected devices. The scalability index of the proposed method is 98.12% when compared with existing methods like ripple, DPOS and tendermint.
Blockchain-Based Secure Data Sharing Algorithms for Cognitive Decision Management Franciskus Antonius Alijoyo, B. Prabha, Mohd Aarif, Gulnaz Fatma, Vuda Sreenivasa Rao, et al. International Conference on Electrical Computer and Energy Technologies Icecet 2024, 2024 Cognitive Decision Management in healthcare data management refers to the integration of artificial intelligence, machine learning, and cognitive computing to enhance decision-making processes. Secure data sharing is crucial in Cognitive Decision Management for healthcare as it enables seamless collaboration among stakeholders while ensuring the confidentiality, integrity, and availability of sensitive health data. This practice is essential for delivering timely and accurate insights, facilitating collaborative care, and maintaining patient privacy. Traditional approaches for secure data sharing in Cognitive Decision Management include role-based access control, encryption, and Virtual Private Networks (VPNs). Traditional approaches often face limitations such as complex key management, potential vulnerabilities in encryption algorithms, and scalability challenges in managing access controls. To overcome these limitations, this study introduces a novel approach leveraging blockchain technology. The proposed system incorporates Ethereum blockchain 2.0 for scalable and efficient healthcare data management, along with Elliptic Curve Cryptography for secure transaction verification. Blockchain ensures transparency, immutability, and decentralized control, addressing the drawbacks of traditional methods and providing a robust foundation for secure data sharing in Cognitive Decision Management within healthcare settings. Results of this study was implemented in Python tool. The throughput ranged from 450 to 520 transactions per second, showcasing system stability.
Smart Product Packing and IoT Marketing: Enhancing Customer Interaction Premlatha Soundarraj, Mohd Aarif, S. Gangadharan, Syed Rizwan Naqvi, Noor Kareem AssiHalaf, et al. Proceedings of the 2023 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2023, 2023
The Impact of Smart Homes on Energy Efficiency and Sustainability Lipsa Das, Pooja Anand, Afsana Anjum, Mohd Aarif, Nitu Maurya, et al. 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical Electronics and Computer Engineering Upcon 2023, 2023
Customer Retention Using Machine Learning Lipsa Das, Rahama Salman, Shaista Sabeer, Subuhi Kashif Ansari, Mohd Aarif, et al. 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical Electronics and Computer Engineering Upcon 2023, 2023
Machine Learning Strategies for Business Process Optimization Jitendra Kumar Chaudhary, Mohd Aarif, N. Raghava Rao, Rajeev Sobti, Suresh Kumar M.V, et al. 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical Electronics and Computer Engineering Upcon 2023, 2023
Database Management Difficulties in the Internet of Things Melanie Lourens, A. Tamizhselvi, Brijesh Goswami, Joel Alanya-Beltran, Mohd. Aarif, et al. Proceedings of 5th International Conference on Contemporary Computing and Informatics Ic3i 2022, 2022
RECENT SCHOLAR PUBLICATIONS
Natural Language Processing in Financial Reports: Analyzing Annual Reports Using AI for Investment Insights J Dwivedi, I Muda, MB Alazzam, M Aarif, P Nagaraj 2025 IEEE International Conference on Advances in Computing Research On … , 2025 2025
Instilling Religious Moderation in Early Childhood at Raudhatul Athfal Ponorogo: The Role of National Insight-Based Learning L Suryani, S Fatimah, J Jarudin, M Aarif Al-Athfal: Jurnal Pendidikan Anak 11 (1), 17-34 , 2025 2025 Citations: 3
Enhancing Third-Party Product Marketing with Reinforcement Learning Techniques R Raj, M Aarif, B Haralayya, NA Jaff, M Gogoi, BA Vijayalakshmi 2025 International Conference on Next Generation Information System … , 2025 2025 Citations: 1
Cloud-Based HR Management: Using Deep Reinforcement Learning to Optimize Employee Lifecycle R Salman, SK Acharya, N Roopalatha, D Nimma, M Aarif, II Raj 2024 4th International Conference on Innovative Sustainable Computational … , 2024 2024
Artificial Intelligence Strategies for Optimizing Native Advertising with Deep Learning D Nimma, M Aarif, S Pokhriyal, R Murugan, VS Rao, BK Bala 2024 International Conference on Artificial Intelligence and Quantum … , 2024 2024 Citations: 8
An Empirical Investigation into the Role of Industry 4.0 Tools in Realizing Sustainable Development Goals with Reference to Fast Moving Consumer Foods Industry G Elkady, A Sayed, S Priya, B Nagarjuna, B Haralayya, M Aarif Advanced Technologies for Realizing Sustainable Development Goals: 5G, AI … , 2024 2024 Citations: 15
A Critical Investigation into the Impact of Big Data in the Food Supply Chain for Realizing Sustainable Development Goals in Emerging Economies G Elkady, A Sayed, R Mukherjee, D Lavanya, D Banerjee, M Aarif Advanced Technologies for Realizing Sustainable Development Goals: 5G, AI … , 2024 2024 Citations: 5
The Role of Big Data Analytics as a Critical Roadmap for Realizing Green Innovation and Competitive Edge and Ecological Performance for Realizing Sustainable Goals MA Tripathi, I Goswami, B Haralayya, MP Roja, M Aarif, D Kumar Advanced Technologies for Realizing Sustainable Development Goals: 5G, AI … , 2024 2024 Citations: 4
The Role of 5G in Creating Smart Cities for Achieving Sustainable Goals: Analyzing the Opportunities and Challenges through the MANOVA Approach MA Tripathi, SV Singh, Y Rajkumari, N Geethanjali, D Kumar, M Aarif Advanced Technologies for Realizing Sustainable Development Goals: 5G, AI … , 2024 2024 Citations: 2
Enhancing Fraud Detection in Online E-Commerce Transactions through Deep Learning Auto encoder Model K Raghuveer, TN Gongada, D Nimma, M Aarif, K Samudrala, BK Bala 2024 International Conference on Intelligent Systems and Advanced … , 2024 2024 Citations: 3
Enhancing Workplace Efficiency with the Implementation of the Internet of Things to Advance Human Resource Management Practices R Dagar, R Srivastav, M Aarif, A Lohiya, S Muthuperumal 2024 International Conference on Intelligent Systems and Advanced … , 2024 2024 Citations: 4
Evaluating Blockchain's Potential for Secure and Effective Digital Identity Management S Subudhi, M Aarif, S Kumar, D Younis, MK Verma, K Ravi, ... Recent Technological Advances in Engineering and Management, 100-104 , 2024 2024 Citations: 4
Studying the use of Blockchain for the Management of Secure and Effective Electronic Health Records BT Geetha, DS Chakravarthi, M Aarif, PC Biswas, CS Roy, TT Moharekar Recent Technological Advances in Engineering and Management, 179-183 , 2024 2024
Predictive Analytics in Credit Scoring: Integrating XG Boost and Neural Networks for Enhanced Financial Decision Making SJS Krishna, M Aarif, NK Bhasin, S Kadyan, BK Bala 2024 International Conference on Data Science and Network Security (ICDSNS), 1-6 , 2024 2024 Citations: 7
Innovative Blockchain Protocol for Enhancing Transaction Security and Integrity in Decentralized Financial Ecosystems I Muda, K Santosh, M Aarif, L Natrayan, S Kaliappan, S Muthuperumal 2024 International Conference on Data Science and Network Security (ICDSNS), 1-6 , 2024 2024 Citations: 23
Blockchain-Based Secure Data Sharing Algorithms for Cognitive Decision Management FA Alijoyo, B Prabha, M Aarif, G Fatma, VS Rao 2024 International Conference on Electrical, Computer and Energy … , 2024 2024 Citations: 15
Combating fake news in social media by enabling deep convolutional neural network-based detection and mitigation strategies G Sabera, J Manoranjini, M Aarif, VS Rao, H Anandaram 2024 Third International Conference on Electrical, Electronics, Information … , 2024 2024 Citations: 4
Implementing fuzzy logic in cognitive sensor networks for environmental monitoring M Aarif, A Anjum, T Sharma, A Arikrishnan, VS Rao, A Balakumar 2024 Third International Conference on Electrical, Electronics, Information … , 2024 2024 Citations: 3
Creating a resilient blockchain framework to enhance the efficiency and security of data management within Internet of Things networks A Balavivekanandhan, A Gummadi, M Aarif, NK Bhasin, K Gulati, II Raj 2024 Third International Conference on Smart Technologies and Systems for … , 2024 2024 Citations: 12
Developing an AI-Driven Personalization Engine for Real-Time Content Marketing in E-commerce Platforms H Matharu, Z Pasha, M Aarif, L Natrayan, S Kaliappan, II Raj 2024 15th International Conference on Computing Communication and Networking … , 2024 2024 Citations: 20
MOST CITED SCHOLAR PUBLICATIONS
Enhancing Threat Detection in Financial Cyber Security Through Auto Encoder-MLP Hybrid Models. L Almahadeen, GAL Mahadin, K Santosh, M Aarif, P Deb, M Syamala, ... International Journal of Advanced Computer Science & Applications 15 (4) , 2024 2024 Citations: 82
A brief study on entrepreneurship and its classification MA Tripathi, R Tripathi, N Sharma, S Singhal, M Jindal, M Aarif International Journal of Health Sciences 6 (S2), 572911 , 2022 2022 Citations: 64
An in-depth analysis of the role that ML and big data play in driving digital marketing’s paradigm shift MA Tripathi, R Tripathi, F Effendy, G Manoharan, MJ Paul, M Aarif 2023 International Conference on Computer Communication and Informatics … , 2023 2023 Citations: 51
A., Arun & Aarif, Mohd.(2022). Significance and Challenges of Online Education during and After Covid-19. Türk Fizyoterapi ve Rehabilitasyon Dergisi A Alalmai, DG Fatma Turkish Journal of Physiotherapy and Rehabilitation 32, 6509-6520 , 2022 2022 Citations: 38
A review of the contribution of youth to sustainable development and the consequences of this contribution DG Bosco Ekka, DHA Prince Verma, D Harishchander Anandaram Journal of Positive School Psychology 6 (6), 3564-3574 , 2022 2022 Citations: 38
The impact of smart homes on energy efficiency and sustainability L Das, P Anand, A Anjum, M Aarif, N Maurya, A Rana 2023 10th IEEE uttar pradesh section international conference on electrical … , 2023 2023 Citations: 33
Impact of marketing communication and information sharing on the productivity of India's small and medium-sized businesses (SMEs) AK Yadava, IA Khan, P Pandey, M Aarif, G Khanna, S Garg 2022 Citations: 31
Business Opportunities And Challenges For Women In The Travel And Tourism Industry During Pandemics Covid-19. N Sharma, AK Yadava, M Aarif, H Anandaram, A Alalmai, C Singh Journal of Positive School Psychology 6 (6) , 2022 2022 Citations: 30
Assessment based on IoT for efficient information surveillance regarding harmful strikes upon financial collection JKS Al-Safi, A Bansal, M Aarif, MSZ Almahairah, G Manoharan, ... 2023 International Conference on Computer Communication and Informatics … , 2023 2023 Citations: 25
Unveiling the significance of sustainability in tourism: Environmental conservation, socioeconomic development, and destination resilience “unveiling the significance of … B Ekka, G Das, M Aarif, A Alalmai Rivista Italiana di Filosofia Analitica Junior Vol 14 (1) , 2023 2023 Citations: 25
Importance of Effective Business Communication for promoting and developing Hospitality Industry in Saudi Arabia M Aarif, A Alalmai A case study of Gizan (Jazan) , 2019 2019 Citations: 25
Innovative Blockchain Protocol for Enhancing Transaction Security and Integrity in Decentralized Financial Ecosystems I Muda, K Santosh, M Aarif, L Natrayan, S Kaliappan, S Muthuperumal 2024 International Conference on Data Science and Network Security (ICDSNS), 1-6 , 2024 2024 Citations: 23
Database management difficulties in the internet of things M Lourens, A Tamizhselvi, B Goswami, J Alanya-Beltran, M Aarif, ... 2022 5th International Conference on Contemporary Computing and Informatics … , 2022 2022 Citations: 21
Developing an AI-Driven Personalization Engine for Real-Time Content Marketing in E-commerce Platforms H Matharu, Z Pasha, M Aarif, L Natrayan, S Kaliappan, II Raj 2024 15th International Conference on Computing Communication and Networking … , 2024 2024 Citations: 20
Significance and Challenges of Online Education during and After Covid-19 AA Alalmai, G Fatma, A Arun, M Aarif Turkish Journal of Physiotherapy and Rehabilitation 32 (2), 1-6 , 2022 2022 Citations: 20
A study on the role of healthcare industry in the promoting of health tourism in India M Aarif A case study of Delhi-NCR , 2018 2018 Citations: 20
Biometric-based access control systems with robust facial recognition in IoT environments BVS Babu, J Manoranjini, R Changala, M Aarif, SSC Mary, II Raj 2024 Third International Conference on Intelligent Techniques in Control … , 2024 2024 Citations: 18
Application of internet of things and big data in improving supply chain financial risk management system MSZ Almahairah, S Goswami, PN Karri, IM Krishna, M Aarif, G Manoharan 2023 10th IEEE Uttar Pradesh section international conference on electrical … , 2023 2023 Citations: 18
Challenges faced by big data and its orientation in the field of business marketing HM Mourad, D Kaur, M Aarif International Journal of Mechanical and Production Engineering Research and … , 2020 2020 Citations: 16
An Empirical Investigation into the Role of Industry 4.0 Tools in Realizing Sustainable Development Goals with Reference to Fast Moving Consumer Foods Industry G Elkady, A Sayed, S Priya, B Nagarjuna, B Haralayya, M Aarif Advanced Technologies for Realizing Sustainable Development Goals: 5G, AI … , 2024 2024 Citations: 15
