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103 articles for “market performance”
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The Role of Majority Functions in Enhancing Full Subtractor Performance in High-Density Logic Circuits
Abstract: In the present trend of very large-scale integration (VLSI) technology, implementing a Boolean function with the fewest number of gates (logic) has always been important. Low power design strategies now provide much more benefits than in the past. Performance, affordability, and dependability may be key issues in this area of technology design. Power dissipation is now recognized as a crucial component in the development of competitive market areas such wireless …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 2, 2024 Read article
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Interest Level Prediction in Rental Properties Using Data Science
Abstract: A key component of forecasting home prices and rental patterns is real estate market analysis. Data science, data mining methodologies, and statistical models are some of the strategies that have been created in recent years to solve this problem. A few problems are still required to be resolved, such as the obstacles caused by the availability and quality of the data; the presence of outliers, missing values, and inconsistent formats …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 28–34 Read article
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A Majority Function Based Full Subtractor
Abstract: In the present landscape of very large-scale integration (VLSI) technology, the imperative to implement Boolean functions with minimal gate count remains a cornerstone of efficient circuit design. This pursuit has only grown more critical with the evolution of low-power design strategies, which now offer significantly enhanced benefits compared to traditional approaches. The trifecta of performance, affordability, and dependability continue to drive innovation in this field, shaping the trajectory of technological …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 2, 2024 · pp. 8–14 Read article
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Deep Learning Architectures for Predictive Modeling in Financial Time Series
Abstract: This study investigates the application of deep learning architectures, particularly convolutional neural networks (CNNs), to the challenging task of financial time series forecasting. Financial markets are inherently complex and influenced by a range of factors, making accurate prediction of price movements a difficult problem. In this research, historical financial data including stock prices, volumes, and other relevant indicators are used to train CNN models aimed at capturing the underlying patterns …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 45–55 Read article
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Ethanol or EV - The Future Alternative for India's Automotive Energy Industry
Abstract: The research paper compares economic performance before deciding on whether to choose ethanol or electric cars against petroleum products in India. For India's serious air pollution problems, energy security concerns and rapid urbanization, it is important changing to sustainable transport modes. This study examines how India’s policies concerning EVs and ethanol, market trends for these vehicles as well as technological advancement would promote them as cleaner alternatives to vehicles using …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 38–51 Read article
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Problems and Difficulties in the Additive Manufacturing of Composites with Carbon Fiber Reinforcement for Medical Application
Abstract: Amputation is more prevalent than one may think due to an accident, war, or disease. Prosthetics and associated orthotics have a combined global market value of $2.8 billion. Carbon fibre has found a market due to increased demand for foot prostheses. Fused deposition modeling (FDM) is a rapidly advancing three-dimensional (3D) printing technique. PEEK (polyether-ether-ketone) is a biocompatible, high-performance polymer that could potentially be utilised as an orthopedic surgery implant …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 1, 2023 · pp. 8–12 Read article
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Emerging Programming Languages Shaping Technology in 2026
Abstract: As technology keeps changing quickly, it's more crucial than ever for developers, students, and tech fans to choose the correct programming language. This article talks about the best programming languages to learn in 2026, focusing on their most important features, how they can be used in the real world, and how much demand there will be for them in the job market in the future. Each language is looked at …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 Read article
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Predictive Analytics for Student Well-Being and Occupational Success
Abstract: The integration of predictive analytics into higher education has significantly transformed institutional decision-making processes. However, prevailing implementations remain predominantly performance-centered, focusing on dropout prediction and grade forecasting rather than holistic developmental outcomes. Concurrently, higher education systems worldwide are confronting escalating concerns regarding student mental health, disengagement, career uncertainty, and labor market volatility. These intersecting challenges necessitate a broader theoretical reconceptualization of predictive analytics—one that integrates psychological well-being and long-term occupational …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 155–163 Read article
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Optimizing Marketing Campaigns Using Random Forest and A/B Testing
Abstract: Marketing initiatives play a vital role in driving business growth by reaching targeted consumer segments through tailored strategies across multiple channels. The success of these initiatives is influenced by various factors, including the type and duration of the campaign, the characteristics of the target audience, the communication channels employed, and the overall efficiency of each strategy. These factors collectively impact key performance metrics such as conversion rates, customer acquisition costs, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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Commercialization of Smart Polymers in Advanced Composite Structures for Industrial Applications
Abstract: The commercialization of smart polymers in advanced composite structures represents a significant rise in material science, particularly for industrial applications. These smart polymers show unique properties such as self-healing, shape memory, & responsiveness to environmental disturbances, making them ideal for a wide range of applications. In this paper, the researcher explores the advancements in developing and applying smart polymers within composite structures, focusing on their potential. Revolutionize industries like atmosphere, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 70–81 Read article
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Affordable Automation: Strategies for Cost Reduction and Efficiency Improvement in Daily Robotics
Abstract: The study examined how robotics technologies can increase productivity in industries. As we all know, artificial intelligence (AI) is on the rise in the market, and industries are becoming increasingly reliant on AI to handle multifaceted tasks. Robotics is one of the most prominent fields in manufacturing and science, where engineers are focusing on developing robots that can perform specific tasks and deliver accurate results. As technology progressed, by 2005, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 7–16 Read article
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Phase-Specific Nutrient Requirements in Broilers: Implications for Behavior, Gut Health, Performance, Meat Quality, Welfare, and Economics
Abstract: The broiler industry plays an inevitable role in global food security, requiring optimal formulation strategies tailored to each growth phase, starter, grower, and finisher for sustainable production. This review explores phase-specific nutrient requirements and their implications for broiler performance, meat quality, welfare, and economics. During the starter phase (1–10 days), nutrition focuses on immune development, gut health, and skeletal growth, with high protein and low energy needs. In the grower …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 5–15 Read article
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Using AIML to Enhance Demand Forecasting in Business
Abstract: Artificial intelligence machine learning (AIML) can play a significant role in enhancing demand forecasting in business. AIML is a programming language designed for creating chatbots and conversational agents, but its application extends beyond simple interactions. In the context of demand forecasting, AIML can be utilized to analyze historical data, customer interactions, and market trends. By implementing AIML algorithms, businesses can create intelligent models that learn from past demand patterns, customer …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 35–40 Read article
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A case study on the application of TPM techniques in the manufacturing industry
Abstract: The steel sector has developed dramatically during recent years, driven by technical breakthroughs, competitive challenges, and changing client requirements. Consumers now place increasing focus on cost effectiveness, shorter delivery lead times, and consistently excellent product quality, driving industrial organizations to continually strengthen their operational performance. Adopting structured quality and maintenance systems has become crucial for maintaining competitiveness and attaining operational excellence in response to these difficulties.With a focus on enhancing …
Published in Journal of Production Research & Management · Vol. 16, Issue 1, 2026 · pp. 1–9 Read article
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A Comparative Financial Performance Assessment of Select FMCG Companies in India: Evidence from HUL and Britannia Industries
Abstract: This study takes a close look at the financial performance of two major players in India’s FMCG sector: Hindustan Unilever Limited (HUL) and Britannia Industries Limited (BIL). It covers the period from FY 2022–23 to FY 2024–25, with a focus on how each company manages its finances, grows its business, and keeps profits up in a market that’s always competitive. The analysis relies on secondary data from published annual reports …
Published in Journal of Production Research & Management · Vol. 16, Issue 1, 2026 · pp. 51–67 Read article
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Egg Quality in Laying Hens: Optimizing Genetic, Nutritional, Environmental and Management Factors for Sustainable Layer Farming
Abstract: This review paper provides a comprehensive analysis of the critical factors affecting egg quality in laying hens, focusing on the integration of genetic, environmental, nutritional, and management practices. Egg quality, including shell strength, albumen consistency, and yolk pigmentation, is a key determinant of both production efficiency and marketability. Genetic factors, such as selection for desirable traits, like shell integrity and yolk color, have a significant impact on the overall quality …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 2, 2025 · pp. 1–15 Read article
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Trends, Challenges, and the Future of Unmanned Aerial Systems
Abstract: The rapid evolution of unmanned aerial vehicles (UAVs), commonly referred to as drones, has transformed numerous domains — from military surveillance and logistics to precision agriculture and atmospheric research. This paper examines the current state of drone technology, industry trends, regulatory frameworks, socio-economic impacts, ethical considerations, and future research directions. With contributions from multidisciplinary studies, this review emphasizes emerging technologies, performance metrics, risk factors, and opportunities for innovation. In recent …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 27–33 Read article
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Transforming Transportation in India: Exploring the Challenges and Opportunities of Electric Vehicles
Abstract: They also help lessen the impact of ozone-depleting substances and support the widespread adoption of renewable energy. Although significant research has focused on EV features, performance, and charging infrastructure, challenges in production and network modeling persist. This paper provides an overview of various EV technologies, including EVs, hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), and battery electric vehicles (BEVs), and evaluates their market penetration rates. It explores various …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 2, 2024 · pp. 17–23 Read article
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Eco-Design Approaches in Modern Machine Tool Construction
Abstract: In the contemporary landscape of manufacturing, sustainability is no longer optional; it is imperative. Within this context, machine tool construction presents a unique set of challenges and opportunities: these heavy, energy-intensive pieces of capital equipment operate across long lifecycles, consume substantial embodied energy and materials, and eventually require disposal or remanufacture. This study explores eco-design approaches tailored specifically to modern machine tools, covering the full lifecycle from material sourcing and …
Published in Trends in Machine design · Vol. 12, Issue 3, 2025 · pp. 23–29 Read article
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Polymers and others Advance Materials: A State-of-the-Art Review
Abstract: Developing emerging technologies requires pushing the boundaries of material science. Right now, conventional neat polymers simply do not last long enough in the field. They suffer from sudden mechanical failure, struggle with thermal instability, and throwaway disposal methods have created a massive environmental crisis. To tackle these exact issues, this review provides a critical evaluation of two rapidly growing solutions: sustainable bio-composites and self-healing polymer systems. Rather than offering a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 108–119 Read article