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319 articles for “C-Class Function”
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Common Fixed Point Theorem for Rational Inequality in Fuzzy Metric Space Under C-Class Function and Implicit Function
Abstract: The purpose of this study is to establish some fixed point results for fuzzy metric space satisfying certain rational inequality under C-Class function along with Implicit function. The idea of C-Class functions in introduced in the process of building a fuzzy metric space that associate with implicit functions. In this way, our results extend and generalize and improve results of fuzzy metric space of previously published.
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 1, 2023 · pp. 8–20 Read article
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A Review on Quantum Dots and Their Bioimaging Applications
Abstract: Quantum dots are nanoscale semiconductor crystals engineered to emit highly intense, photo-stable luminescence with quantum yields reaching 90%. Structurally, they are synthesized as single-substance core types, hetero-structured core-shell architectures for enhanced stability, or blended alloys. They are further categorized by synthesis and functional traits into colloidal, magnetic, and highly fluorescent varieties, alongside specialized silicon and eco-friendly carbon-based variants derived from organic waste. Due to their exceptional optoelectronic properties, they are …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 16, Issue 2, 2026 · pp. 41–60 Read article
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Extended Fixed Point Theorems in Menger PM-Type Spaces: Generalized Auxiliary Functions and Contractivity Conditions
Abstract: Background: Fixed point theory in probabilistic metric spaces, particularly Menger spaces, has been a subject of intensive research due to its applications in nonlinear analysis and mathematical modeling. Traditional approaches often impose restrictive constraints on the defining properties of Menger spaces and limit the class of auxiliary functions in contractivity conditions Methods: We extend recent fixed point theorems in Menger spaces by: (1) introducing the notion of Menger PM-type spaces …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 1–6 Read article
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Classification of Pattern using Spline Function and Statistical Data Mining: Review Paper
Abstract: ABSTRACTMany people are affected by lung diseases. Respiratory diseases are curable in early detection. Spirometry is valuable for diagnosing specific lung disorders as well as detecting lung disease at an early stage. Spirometry is most widely used pulmonary function test that is essential to measure the volume of air exhaled from the fully inflated lung as a function of time. The output of spirometry is inthe form of graphs i.e., …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 37–42 Read article
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FIXED FUNCTIONAL APPLIANCES- A REVIEW
Abstract: AbstractFunctional orthopaedic treatment seeks to correct malocclusion and harmonize the shape of dental arch and orofacial function. Correcting class II malocclusion is always challenging as it has complex and multifactorial aetiology. Age of patients and appliance selection plays an important role in the overall outcome of the treatment. Stable results in class II patients have been achieved with growth modification using functional appliances. An orthodontist has wide variety of fixed …
Published in Research and Reviews: A Journal of Dentistry · Vol. 11, Issue 2, 2020 · pp. 20–33 Read article
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Application of Radial Basis Function Neural Network in Power Quality Events Classification
Abstract: Power Quality concerns have become more important as the Smart Grid has evolved. Computers, microprocessor-controlled electronic loads, and power electronic devices are all used in urban development. Disturbances in power quality are caused by these electronic devices. Variations in the amplitude and frequency of system voltages and currents from their nominal levels identify PQ difficulties. We offer a hybrid technique to accomplishing this goal in this paper. To classify PQ …
Published in Trends in Electrical Engineering · Vol. 12, Issue 1, 2022 · pp. 20–40 Read article
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Clinical Classification of Knee OA Severity Using WOMAC and its Association with Fear of Falling and Functional Capacity
Abstract: Aim: To determine whether clinically classifying knee osteoarthritis (OA) using the Western Ontario and McMaster Universities Arthritis Index (WOMAC) is as effective as radiological classification. Methodology: A total of 36 subjects with diagnosed knee OA who visited the physiotherapy OPD of ESI Hospital, Basaidarapur, New Delhi, India, were included in the present study. Procedure: Subjects were screened for cognitive ability using Mini-Mental State Exam (MMSE), fear of falling using Modified …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 8, Issue 3, 2019 · pp. 32–38 Read article
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Unani Concepts of Brain Pathology: Humoral Mechanisms in Māddī Neurological Disorders
Abstract: Background: The Unani System of Medicine (USM) considers the brain (Dimāgh) as the principal organ of Quwā Nafsāniyya (psychic faculties), responsible for sensation, cognition, memory, movement, and emotional regulation. According to Unani principles, health is maintained through equilibrium of Mizāj (temperament) and Akhlāṭ (humours), whereas disease develops when this balance is disturbed. Among neurological disorders, Sū’-i-Mizāj Māddī Dimāgh refers to pathological conditions of the brain associated with the accumulation of …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 2, 2026 · pp. 21–29 Read article
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Evaluation of Machine Learning Classifiers for Sentiment Analysis
Abstract: Sentiment in social media refers to users’ emotions and opinions through their posts and interactions. Sentiment analysis (SA) refers to relating and classifying the sentiments expressed as engagement and interactions between users. When analyzed, tweets frequently produce a large source of clustered data. These data help determine people’s opinions about a variety of motifs. Thus, this study presents an Automated Machine Learning (ML) Sentiment Analysis Model to detect media sentiment. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 141–154 Read article
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Generative AI for Designing Sustainable Polymer Composites for Renewable Energy Applications
Abstract: Sustainable polymer composites are increasingly required for renewable energy devices, yet conventional trial-and-error formulation cannot efficiently balance performance, processability, recyclability, and environmental constraints. This study proposes a generative artificial intelligence framework for designing polymer composites for photovoltaic encapsulation, dielectric energy storage, polymer electrolytes, and thermal-management systems. Public polymer-property and composite datasets were curated from open databases and published supplementary records. Chemical descriptors, molecular fingerprints, polymer embeddings, processing variables, and sustainability …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1232–1257 Read article
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Pavement Maintenance Management System: A Review
Abstract: Maintenance plays an essential and integral part in the life of a pavement. The pavement maintenance management system (PMMS) is a systematic method for inspection and rating the pavement condition in a given area. The system also performs a cost effectiveness analysis of various maintenance and rehabilitation strategies. Finally the system prioritize and recommend pavement rehabilitation and maintenance to maximize results within a given budget amount. During execution of maintenance …
Published in Trends in Transport Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 19–30 Read article
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Real-world Pothole Detection Using Image Processing and Deep Learning Convolutional Neural Network Model
Abstract: Potholes are a major problem of concern in many parts of the cities across the country. Road accidents are one of the causes that significantly affect humanity and result in damage to vehicles and road surface. Potholes are dangerous for pedestrians who walk along the road and vehicular traffic on busy roads. Road accidents are caused due to improper maintenance of roads, and it is imperative to attend to such …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 95–103 Read article
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Tensor-Flow Based Approach to Identify Author of the Text
Abstract: Now-a-days a lot of content is available on internet, and people upload lot of information in form of opinion, review, description, recipe etc. online. In such scenario to trace the authenticity of the data, it is necessary to develop an author identification system. It has become a difficult problem in the scope of unnamed information has increased with fast growing Internet life. It is a process to identify author of …
Published in Current Trends in Information Technology · Vol. 8, Issue 3, 2018 · pp. 23–29 Read article
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Certain Results Involving Ramanujan’s Theta Functions
Abstract: In this present work, our main aim is to obtain “certain results involving Ramanujan’s theta functions”. In this paper, we have evaluated Ramanujan’s theta functions by making use of certain modular equations due to Ramanujan. Using these values of theta functions, we have also evaluated Ramanujan’s cubic continued fraction and Ramanujan–Weber class invariants Gn and gn.Keywords: Ramanujan’s theta functions, modular equations, Ramanujan–Weber class invariants, Ramanujan’s cubic continued fraction, Modular identitiesCite …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 7, Issue 1, 2020 · pp. 6–15 Read article
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Fractional q-Derivative and N2 Function
Abstract: AbstractThe study of fractional q-calculus in this paper serves as a bridge between the fractional q-calculus in the literature and the fractional q-calculus of Special Functions. This paper is devoted to fractional q-derivative of special functions. Special functions are particular mathematical functions which have more or less established names and notations due to their importance in mathematical analysis, physics, or other applications in engineering .To begin with the theorem on …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 6, Issue 1, 2019 · pp. 41–43 Read article
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Fractional q-Derivative and Generalized N2 Function
Abstract: AbstractThis paper is devoted to fractional q-derivative of special functions. To begin with the theorem on term by term q-fractional differentiation has been derived. The result is an extension of an earlier result due to Yadav and Purohit and Sharma, Jain and Ali. As a special case, of fractional q-differentiation of N2 Function has been obtained.Keywords: Fractional integral and derivative operators, Fractional q-derivative, N2 Function and Special functionsMathematics Subject Classification: …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 6, Issue 1, 2019 · pp. 38–40 Read article
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Classification and Detection of Brain Tumor using Convolutional Neural Network
Abstract: Tumors are masses created when brain cells multiply uncontrollably. A brain tumor is the medical term for this condition. Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Developing a treatment plan is essential to raising a patient's standard of living. Tumors in different regions of the body are evaluated using a variety of imaging techniques, with MRI pictures being utilized mostly for …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
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PEROVSKITE MATERIALS: A REVIEW OF STRUCTURE, PROPERTIES AND
Abstract: Perovskite materials have emerged as one of the most promising classes of functional materials for next-generation energy conversion and optoelectronic applications due to their exceptional structural, optical, and electrical properties. Their unique ABX₃ crystal structure provides excellent compositional flexibility, allowing researchers to tailor their physical and chemical characteristics for specific applications. Features such as tunable bandgaps, high optical absorption coefficients, long charge carrier diffusion lengths, and balanced electron-hole transport have …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 16, Issue 2, 2026 Read article
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Conductive Polymers for Electro-Mechanical Systems: Structure–Property Relationships and Mechanical Behavior Under Stress
Abstract: Conductive polymers represent a unique class of functional materials that combine the electrical characteristics of metals with the mechanical flexibility of polymers. These dual properties are critical for the next generation of electro-mechanical systems, including wearable sensors, soft robotics, structural health monitoring (SHM), and biomedical actuators. However, the mechanical performance of conductive polymers under diverse stress conditions—such as elongation, cyclic loading, bending, and impact—remains a key challenge, limiting their long-term …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 25–30 Read article
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Determination of the Mechanical Properties of Shape Memory Alloys
Abstract: Shape memory alloys are materials which can be deformed by cooling below a certain critical temperature and then regain their original shape after heating above this critical transition temperature.. Shape memory alloys (SMAs) are a class of functional materials that possess unique thermo mechanical properties, such as shape memory effect (SME), super elasticity (SE), damping, and good fatigue and corrosion resistance, which enable them to become ideal materials for applications …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 2, 2021 · pp. 1–9 Read article