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479 articles for “Orientation”
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Federated Learning Framework for Sustainable Multi-Scale Design of Recyclable Thermoplastic Graphene Composites in Smart Manufacturing Environments
Abstract: The growing demand for sustainable advanced materials has accelerated the development of recyclable thermoplastic graphene composites for next-generation smart manufacturing systems. The typical central optimization methods have challenges with data privacy, scalability, and poor collaboration between distributed manufacturing sites. By combining material informatics, edge intelligence and distributed artificial intelligence, this study introduces a Federated Learning (FL) framework to design recyclable thermoplastic graphene composites at multiple scales sustainably. The proposed framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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AI-Enabled Green Supply Chains: A Cross-Case Empirical Analysis of Sustainable Sourcing Disclosures in Indian Manufacturing Firms
Abstract: The growing integration of artificial intelligence into supply chain systems has begun to reshape how firms approach environmental responsibility and sustainable sourcing. While discussions around green supply chains often remain conceptual, limited empirical attention has been paid to how companies actually disclose and operationalize AI-enabled sustainability practices. This study examines the extent to which artificial intelligence is embedded within green supply chain strategies by conducting a cross-case empirical analysis of …
Published in International Journal of Sustainability · Vol. 3, Issue 2, 2026 · pp. 28–37 Read article
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Hybrid Machine Learning and Finite Element Framework for Predicting Damage Behavior in Fiber-Reinforced Polymer Composites
Abstract: Fiber Reinforced Polymer (FRP) composites have broad spread use in aerospace, automotive, marine and structural applications due to its high specific strength, stiffness and corrosion resistance. The various damage mechanisms such as matrix cracking, fiber breakage, delamination and interfacial failure, however, make the forecasting of damage particularly complex. In this work, a hybrid machine learning (ML) and finite element (FE) system is proposed for predicting the damage behavior of FRP …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Crystalline Materials: From Crystal Growth and Defect Engineering to Advanced Functional Applications
Abstract: Crystalline materials form the foundation of numerous modern technologies owing to their highly ordered atomic structures and exceptional physical, chemical, electrical, optical, and mechanical properties. Their periodic crystal lattices provide superior structural stability and enable precise control of electronic, thermal, and optical behavior, making them indispensable in microelectronics, photonics, energy storage, catalysis, aerospace, environmental remediation, and biomedical engineering. Rapid advances in crystal growth techniques, nanotechnology, and computational materials science have …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 2, 2026 · pp. 23–31 Read article
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Recent Advances in Nanotechnology-Assisted Liquid Crystal Biosensors for Sensitive and Naked-Eye Detection of Antibiotics
Abstract: The widespread use of antibiotics in healthcare, veterinary medicine, agriculture, and aquaculture has resulted in increasing levels of antibiotic residues in food products and environmental samples, posing significant risks to human health and contributing to antimicrobial resistance. Conventional analytical methods, including high-performance liquid chromatography (HPLC), liquid chromatography–mass spectrometry (LC–MS), enzyme-linked immunosorbent assay (ELISA), and electrochemical techniques, offer excellent sensitivity but require sophisticated instrumentation, skilled personnel, and extensive sample preparation. In …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 2, 2026 Read article
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Artificial Intelligence in Healthcare for Implants and Tissue Regeneration: Advances, Challenges, and Future Directions
Abstract: Artificial intelligence (AI) has been a revolutionary influence in contemporary healthcare, especially in implant design, biomaterials research, and tissue regeneration. In regenerative medicine, AI facilitates predictive modeling, optimization, and decision-making via the analysis of intricate biological, material, and clinical information. This study analyzes current research on AI applications in implant technologies and tissue regeneration, specifically addressing scaffold engineering, biomaterial characterisation, stem cell and gene treatments, smart biomaterials, and implant planning. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Adaptive and Explainable ML Framework for Personalized E-Commerce User Experience and Satisfaction
Abstract: The user experience and user satisfaction have taken the center of the stage as a determinant of platform success in the fast-changing e-commerce ecosystem. Conventional recommendation systems are usually run in black-box models that give minimal transparency and dynamicity to altered user preferences. The study will introduce a personalization framework of explainable machine learning (XML) based on explainable artificial intelligence (XAI) and hybrid recommendation strategies. The model uses Collaborative Filtering …
Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 · pp. 23–32 Read article
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Daily Rozgaar: A Web-Based Platform for Localized Job Matching of Blue-Collar Workers
Abstract: In India, a large number of people are employed in the informal labor market, particularly blue-collar jobs such as electricians, plumbers, carpenters, masons, painters and other laborers. Despite their essential contribution in domestic and small-scale service demands, particularly in semi-urban and rural areas, these workers have a high reliance on word-of-mouth networks and localized contacts for employment opportunities. Such dependence often leads to limited job visibility, unstable patterns of income, …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 2, 2026 · pp. 33–44 Read article
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Comparative Analysis of AI-Enabled Conversational Agents and Recommendation Systems for Real-Time Customer Engagement in E-Retailing
Abstract: The rapid deployment of artificial intelligence (AI) in e-retailing has revolutionized the way companies interact with customers in real time. Conversational agents and recommendation engines are two of the most popular AI techniques used to influence customer engagement, while empirical knowledge on the relative effectiveness of these approaches is rare. To bridge this gap, the current research examines and compares the impact of AI-driven conversational agents to that of AI-oriented …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 2, 2026 · pp. 15–32 Read article
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Central and State Police Training Academy Libraries, Government of India: A Special Study
Abstract: Police academy libraries play a vital role in supporting professional education, training, research, and informed decision-making among police personnel. They provide access to specialized information related to police administration, criminal investigation, law and order, counter-terrorism, security, crime prevention, and related areas. The present study examines the existing organizational and management structure of Police Academy Libraries, identifies major deficiencies, and explores measures for improving their effectiveness in accordance with contemporary information …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 3, 2026 Read article
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An Indepth Study of Demographics and Psychographics of Online Shoppers
Abstract: With rapid advancement being made in the technology, the cost of accessing internet from remote corners is drastically coming down. This is a chief push factor for adopting internet. Coupled with high levels of internet literacy than ever before, a lot of retail transactions are happening over internet. Not to miss the fact that consumers can browse and compare the entire assortment with minimal effort, inconvenience or time investment. Also, …
Published in E-Commerce for Future & Trends · Vol. 2, Issue 1, 2015 · pp. 19–34 Read article
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Actors, Agents and Oracles in the Context of Artificial Intelligence
Abstract: AbstractIn this paper, we further develop the action theory of stratified hierarchic intelligence oriented at the creation of artificial intelligence. In this framework, we analyze and study the concept of an actor extending this concept and the corresponding model from specifically computational context to systems theory. The goal is to explore and use actor model for intelligent systems. The next step in the development of the action theory of hierarchic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 17–25 Read article
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An Empirical Investigation of Factors Affecting Women’s Online Purchase Intentions
Abstract: AbstractWith the rise in internet penetration, internet subscribers in India are expected to rise from 445.96 million in 2017 to 829 million by 2021 and by 2025, approximately 220 million people would shop online as per BCG report on Digital Spending in India. The shift in the online buyer profile from a male dominant segment to female buyer group would encourage & provoke retailers to think & re-design their strategies. …
Published in E-Commerce for Future & Trends · Vol. 6, Issue 2, 2019 · pp. 18–29 Read article
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Extensible Messaging and Presence Protocol Using Wireless Sensor Network
Abstract: Wireless sensor networks have significant potential in the home environment. Home application scenarios include monitoring and interaction from several remote or local devices such as mobile phones, televisions or computers. In this paper we propose an architecture for a network based on internet protocol (IP)-enabled wireless sensors. The communication system is based on the XMPP-protocol which is shown to be highly suitable for the sensor networks. XMPP provides a push …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 2, 2015 · pp. 22–27 Read article
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Automatic Text Summarization – A Review
Abstract: ABSTRACT We present Encoder/Decoder a unique methodology for summarization of text documents. The summarization of text is to be done in two forms one is abstractive and the other one is extractive. Summarization of text is a main job of natural language processing. With the help of new idea we make a unique amalgam model of abstractive-extractive to combine BERT(Bidirectional Encoder Representations from Transformers). Firstly we transform the summaries which …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 3, 2020 · pp. 22–27 Read article
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The Extensible Messaging and Presence Protocol Based Wireless Sensor Networks
Abstract: AbstractWireless device networks have important potential within the home atmosphere. Home application situations embrace observance and interaction from many remote or native devices like mobile phones, televisions or computers. During this paper, we have a tendency to propose design for a network supported IP-enabled wireless sensors. The communication system is predicated on the XMPP-protocol that is shown to be extremely appropriate for the device networks. XMPP provides a push based …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 4, Issue 1, 2017 · pp. 9–12 Read article
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Extract & Recognize texts From Images using ROI and Webcam
Abstract: Identification of texts from logos is crucial step in today’s world as every organisation has a different logo. Logos may contain different colorful background which make it difficult to easily recognise the text from the logo. Sometimes, texts on the logos are not easily readable as texts may have different font, foreground color, orientations,etc. This paper focusses on the extraction and recognition of texts from the logos and number plates.We …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 45–50 Read article
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Gesture to Speech Recognition for Deaf and Dumb People
Abstract: The main aim of this project is to extend the human right of communication to a larger audience. There are 70 million people who are deaf in the world, but many do not know how to communicate with this community. To overcome this real time issues, our smart gloves are very useful to translate sign language into text and audio.The smart glove is normal cloth driving glove that recognizes hand …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 2, 2020 · pp. 17–20 Read article
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Age Invariant Face Recognition Techniques: A Review
Abstract: AbstractFace acknowledgment is utilized in numerous applications, for example, in ATM, social insurance framework, driving permit framework, railroad reservation, observation activity, finding missing kids, recognizing hoodlums, and visa validation and so on. This is likewise utilized for opening gadgets, for example, cell phones, workstations, entryways and numerous others. It is one of primary biometric identifier utilized in biometric frameworks. Anyway the presence of one individual may fundamentally change with age …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 3, 2020 · pp. 8–13 Read article
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Human Body Movement Identification
Abstract: AbstractHuman Body Movement Identification is the recognition technique of moving human behavior, it detects and traces the moving human body movements. A 3D human body is expressed by a multi-joint model and describe the posture by a set of joint angles. It is necessary to recognize the human body movements for computer-human interaction. It is useful in many scientific and security fields. It can be used in camera surveillance, sports …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 8, Issue 1, 2021 · pp. 13–22 Read article