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711 articles for “Attributes”
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Implement Artificial Intelligence and Machine Learning for Engineering Design, Predictive Modeling, and Optimizing Polymer Nanocomposites
Abstract: Polymer nanocomposites are high performance engineered materials obtained by inclusion of nano-sized fillers into the polymer matrix to enhance mechanical, thermal, electrical, barrier and functional properties. However, the complex and non-linear interactions among polymer chemistry, nanofiller characteristics, filler concentration, dispersion, interfacial bonding and processing conditions make it challenging to anticipate and maximize their properties. Artificial intelligence (AI) and machine learning (ML) offer powerful data-driven solutions to these difficulties by establishing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Siri Bhuvalaya – An Ancient Universal Archive of Knowledge in Jain Tradition
Abstract: Siri Bhuvalaya, attributed to the Jain monk Kumudendu around the 11th century C.E., represents a unique multidimensional literary work that outshines conventional textual forms. Encoded through complex numerical matrices known as chakras and combinatorial rules called bandhas, it preserves a vast interdisciplinary compilation encompassing philosophy, mathematics, astronomy, chemistry, medicine, and linguistics. The text embodies Jain doctrines of pluralism and conditional truth by enabling multiple valid readings across over 700 languages. …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 10–14 Read article
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The Influence of Artificial Intelligence on Literary Criticism
Abstract: Artificial Intelligence (AI) has emerged as a significant force in reshaping contemporary literary criticism. Traditionally, the interpretation of literature has relied primarily on human-centered methods such as close reading, contextual analysis, and theoretical framing. However, the integration of AI-based techniques including Natural Language Processing (NLP), Machine Learning (ML), stylometry, and sentiment analysis has introduced new possibilities for examining literary texts at both micro and macro levels. These computational approaches allow …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 22–29 Read article
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Nanostructure-Induced Thermoelectric Enhancement in Bi2Te3 Nanorod Design, Analysis, and Performance Evaluation
Abstract: Thermoelectric materials capable of efficient energy conversion near room temperature are critical for waste heat recovery applications. In this work, solution-grown Bi2Te3 nanorods were synthesized via a trioctylphosphine-assisted thermal decomposition route, and the influence of surfactant-induced nanostructuring on their thermoelectric properties was systematically investigated. Structural analysis using X-ray diffraction and Rietveld refinement confirmed the formation of rhombohedral Bi2Te3 with the emergence of Bi2Te3–BiTe nanocomposites at higher surfactant concentrations. Electron microscopy …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 2, 2026 · pp. 26–37 Read article
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Experimental Analysis and Validation of Cellulose Fibre Insulation Structures Considering Thermal Properties
Abstract: Cellulose fibre insulation structures made from used newspaper can be installed in attics, filling gaps between doors and windows. Many researchers focused on loose-filled cellulose fibre insulation. This study investigates the thermal conductivity, R- Value and thermal transmittance of cellulose fibre insulation manufactured from recycled cellulose materials with densities ranging from 280 to 360 kg / m³ and specimen thicknesses of 10 – 30 mm. A total of 25 structures …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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A Novel Real Time Motion Detection Algorithm
Abstract: Constant identification of moving items is fundamental for feature reconnaissance. Foundation subtraction serves as an essential system normally used to portion the moving questions in picture successions taken from a camera. Some current calculations cannot calibrate changing circumstances and they require manual alignment in connection to the determination of parameters or a few speculations for element evolving foundation. A versatile movement division and recognition methodology is produced by utilizing movement …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 1, 2015 · pp. 8–15 Read article
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A Survey Paper on Offline Signature Recognition with Various Techniques
Abstract: AbstractThe signature recognition (SR) and verification technique is used to appreciate and confirm character’s handwritten signature. Nowadays handwritten signature is among the most commonly permitted personal attributes for identification verification. Signature verification provides authorization in financial and business transaction. Signature verification finds its application within the area of internet banking, passport verification approach, provides authentication to candidates in public examination from their signatures, credit cards, bank cheques, etc. Due to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 2, 2017 · pp. 19–29 Read article
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Various Techniques of Sentiment Analysis on Twitter Data Set: A Survey
Abstract: AbstractSentiment analysis is the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. Sentiment analysis could be a variety of data processing that measures the inclination of people’s opinions through natural language processing (NLP), linguistics and text analysis, that square measure want to extract and analyze …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 2, 2017 · pp. 27–32 Read article
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Russian e-commerce: feel the difference
Abstract: Question, how can a foreign company break into the Russian market and create prosperity.A growing number of foreign companies that are opening online businesses in Russia are forecasting labor costs and producing business plans based on the tried and tested techniques used in their own respective markets of their own countries. The issue most do not identify though, is that the world of Russian e-Commerce has its own peculiarities and …
Published in E-Commerce for Future & Trends · Vol. 5, Issue 2, 2018 · pp. 13–16 Read article
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Human Identification using Ear as a Biometric - A Review
Abstract: AbstractThe science of identifying or recognizing a human or verifying the identity of a person on the basis of behavioral or physiological attributes is called as Biometrics. This paper mainly focuses on studying such biometric systems designed and developed so far using the uniqueness of human ear as a biometric. Keywords: Biometrics, ear, recognition, identificationCite this ArticleRahul Lahkar, Khurshid Alam Borbora. Human Identification using Ear as a Biometric: A Review. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 99–104 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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Leader’s Contribution is Always Exemplaryfor an Exclusive Organizational Goal
Abstract: Organizational elegance is always the supreme priority not only to enrich the best occupational stature but to elevate the spirited goodwill with words and wisdom. In this regard, efficient involvement of manpower is another very pivotal aspect to accelerate the best organizational celerity right from the beginning. Leaders do have the qualitative foresight as per the potential, desire, aim and their wide-eyed professional objectives, respectively. That is why they are …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 1, 2020 · pp. 19–23 Read article
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Generalized Churn Prediction
Abstract: Abstract: Customer churn evaluation and management are important to determine the loyalty of customers with the firm and thus to remain aware of each customer whether he will stay or leave the firm. This, in turn, will be used to determine the value of the firm and hence its place in the market. This paper includes existing literature which has been done in the field of churn analysis from time …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 19–24 Read article
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Customer Segmentation for Enhancing Customer Centric Business
Abstract: Customer segmentation is grouping customers based on similarities so companies can approach each group for marketing effectively and appropriately. Customer segmentation is important for enhancing customer centric business for gaining retention among customers by campaigning them using better marketing strategies, causing more institutional benefit. This paper segments customers by analyzing their characteristics based on both demographic and behavioral attributes using K-Means clustering algorithm and Self-Organizing Maps (SOM). K-Means is a …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 1, 2021 · pp. 17–31 Read article
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A Machine Vision Approach for Grading of Onions
Abstract: Grading of fruits and vegetables (on the basis of various external and internal quality attributes) is an important unit operation in the food industry. For products such as onions, grading is performed mainly on the basis of size. In the present study, a machine vision system was used to grade onions into three categories (extra-large, medium and small) based on variations in size. The machine vision system consisted of a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 2, 2014 · pp. 11–14 Read article
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Detection of Facial Parts based on ABLATA
Abstract: Facial feature detection from standard 2D RGB images is a well-researched field but out of prolific techniques there isn't much efficacy is achieved in the previous studies that can extract feature data even for a low quality images in real time. Hence, we propose an algorithm based on Attribute Based Level Adaptive Algorithm (ABLATA) which use recursive data estimates for this task. While the recursive data estimates learns the relation …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 36–41 Read article
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A New Method to Optimize Initial Cluster Number and Then Apply K-Means Algorithm to Perform Image Segmentation
Abstract: Clustering is described as the task of merely grouping a set of data points, which in our case are represented by image pixels, with the application of one or more algorithms, into super-pixels. The k-means clustering algorithm is used for many day-to-day practical applications where the quality of the obtained clusters depends heavily on the initial selection of centroids. In literature, several methods have already been proposed for the improvement …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 18–24 Read article
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An Evaluation of Sentiment Analysis in Online Reviews using FRN Algorithm
Abstract: The internet is rich in directional text (i.e., text containing opinions and emotions). World Wide Web provides volumes of text-based data about consumer preferences, stored in online review websites, web forums, blogs, etc. Sentiment analysis is a technique to classify people’s opinions in product reviews, blogs or social networks and has emerged as a method for mining opinions from such text archives. It uses machine learning methods combined with linguistic …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 1, 2014 · pp. 14–20 Read article
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Collocation Pattern Analysis
Abstract: Spatial data mining becomes more attractive and significant as more spatial data is built up in spatial databases. Many GIS applications are using spatial patterns that are equal to association rules of a business data mining, i.e., online transaction processing (OLTP). Mining the spatial collocation patterns is a significant spatial data mining job with broad applications. Organizations having large data sets of spatial data need to do certain operations that …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 1, 2014 · pp. 21–28 Read article
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Bayesian Image Segmentation using HMRF Algorithm
Abstract: AbstractImage segmentation is a process of dividing the image in to some distinct regions. These regions shave specially coherent in nature and have similar attributes. This technique is widely used for image analyses and to interpret the desired feature. In this present paper, we will study about the hidden Markov random fields (HMRF) and find its expectation maximization algorithm. The main idea behind developing HMRF is to adjoin the “data …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 3, 2020 · pp. 1–8 Read article