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376 articles for “Adaptive Strategies”
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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WAF for Serverless Application Frameworks
Abstract: In today's digital landscape, where online presence is crucial for businesses and organizations, safeguarding web applications against a myriad of cyber threats has become a paramount concern. Enter the Web Application Firewall (WAF), a formidable fortress shielding these digital gateways from malicious intrusions and attacks. Its significance transcends mere technical jargon, as it serves as a sentinel, perpetually vigilant against sophisticated hacking techniques that can compromise sensitive data and disrupt …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 2, 2023 · pp. 34–40 Read article
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Reliability-Aware Multimodal Sentiment Analysis Using Speech, Visual and Textual Signals: A CMU-MOSEI Benchmark Re-analysis
Abstract: Multimodal sentiment analysis integrates linguistic, acoustic, and visual cues, but reported gains often assume that every modality is present and equally reliable. This study develops a reliability-aware multimodal sentiment-analysis framework and performs a quantitative re-analysis of verified CMU- MOSEI benchmark results to determine how modality availability changes predictive performance. The conceptual architecture combines text, acoustic, and visual encoders with quality-conditioned gated fusion. For the quantitative component, complete- and missing-modality results …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 3, 2026 Read article
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Rumen Microbial Adaptation to Dietary Shifts: Mechanisms, Challenges, and Implications for Sustainable Ruminant Production
Abstract: Rumen microbiota play a central role in the digestion and fermentation of dietary components, directly influencing the health and productivity of ruminants. Dietary shifts, such as transitioning from forage-based diets to concentrate-rich diets or incorporating feed additives, induce significant changes in the composition, structure, and functional dynamics of the rumen microbial community. These adaptations, while essential for maintaining microbial homeostasis, can also lead to transient imbalances, including risks of acidosis, …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 1, 2026 · pp. 17–26 Read article
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Impact of Climate Change on Ecosystems
Abstract: Climate change poses significant threats to ecosystems worldwide, altering temperature regimes, precipitation patterns, and accelerating habitat loss and fragmentation. In this review article, we examine the multifaceted impacts of climate change on ecosystems, focusing on biodiversity loss and disruptions to ecosystem services. Firstly, we discuss the direct effects of rising temperatures and changing precipitation patterns on species distributions, phenology, and habitat suitability. We then explore the consequences of habitat loss …
Published in Research & Reviews : Journal of Ecology · Vol. 12, Issue 3, 2023 · pp. 18–23 Read article
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Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems
Abstract: This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems. The proposed approach integrates fractal dimension analysis with entropy- based feature evaluation to capture the intrinsic complexity and irregularity of time-varying signals. By dynamically adapting reconstruction parameters based on fractal-entropy measures, the method effectively separates noise from meaningful signal components while preserving critical information. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 22–33 Read article
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Climate Change and the Hydrologic Cycle: Emerging Patterns, Process Alterations, and Implications for Sustainable Water Resources Management
Abstract: Climate change is profoundly altering the global hydrologic cycle, affecting the movement, storage, and quality of water across atmospheric, terrestrial, and aquatic systems. Rising global temperatures, changing precipitation patterns, increasing atmospheric evaporative demand, and intensifying hydroclimatic extremes are reshaping key hydrological processes, including evapotranspiration, soil moisture dynamics, runoff generation, streamflow regimes, groundwater recharge, and water quality. This review synthesizes recent advances in understanding the impacts of climate change on the …
Published in International Journal of Atmosphere · Vol. 3, Issue 2, 2026 · pp. 34–54 Read article
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Online Learning’s Effect on Education
Abstract: This review paper, titled “Online Learning’s Effect on Education,” delves into the multifaceted impact of online learning on the educational landscape. It investigates how online learning influences students, educators, and institutions, exploring its effects on learning outcomes, pedagogical strategies, and the evolving nature of education itself. This study offers valuable insights into the potential benefits and challenges associated with online learning, shedding light on its continuously developing role in the …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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Wavelet based Adaptive Sliding Mode Control for Discrete Time Uncertain Nonlinear Systems
Abstract: This paper focuses on the development of a wavelet based adaptive sliding mode control strategy for a classof discrete time uncertain nonlinear systems. An adaptive sliding mode control is utilized to assure the stabletracking of uncertain nonlinear system under consideration. Wavelet neural network (WNN) is used to mimicthe uncertainties present in the system. Proposed scheme is derived to guaranty the necessary and sufficientreaching condition for sliding mode control in presence …
Published in Journal of Control & Instrumentation · Vol. 1, Issue 1-2-3, 2011 · pp. 59–68 Read article
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Mathematical Modeling Analysis of India's Accident &Use of Fly Ash and Polymers in Road Safety
Abstract: Accident predicting models (APMs) are exceptionally strong tools for adaptation and mitigation strategies because they have the ability to predict both the severity and frequency of crashes. Road accidents are a major problem all throughout the world, especially in developing countries. Understanding the key variables that contribute can assist in reducing the frequency of traffic collisions. This study also discovered recent developments on fly ash, green composites, other polymer materials …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 488–499 Read article
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Revolutionizing Vaccine Development:The Transformative Role of Bioinformatics in Designing Next-Generation Immunotherapies
Abstract: Vaccines have long been central to the prevention and control of infectious diseases, dramatically reducing morbidity and mortality worldwide. In the modern era, the integration of bioinformatics has revolutionized vaccine development by enabling rapid, precise, and cost-effective identification of potential vaccine targets. This seminar explores the multifaceted applications of bioinformatics in vaccinology, including antigen discovery, epitope prediction, structural modeling, molecular docking, and immunoinformatics-driven vaccine design. Special emphasis is placed on …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 19–33 Read article
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Approximation-Aware Computation for Graceful QoS Degradation in Modern Multiprocessor Operating Systems
Abstract: Modern multiprocessor operating systems face unprecedented challenges in maintaining Quality of Service (QoS) guarantees under dynamic workload conditions and resource constraints. Traditional approaches to resource management often result in abrupt service degradation or complete task failure when system resources become scarce. This study presents a comprehensive framework for approximation-aware computation that enables graceful QoS degradation in multiprocessor environments. We explore the integration of approximate computing paradigms with operating system schedulers, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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Evaluation of the Formation, Concentration, and Mitigation of Heterocyclic Amines in Selected Nigerian Proteinaceous Delicacies
Abstract: This study characterised the kinetics and concentration profiles of six HCA congeners — 2-Amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP), 2-Amino-3,8-dimethylimidazo[4,5-f]quinoxaline (MeIQx), 2-Amino-3,4,8-trimethylimidazo[4,5-f]quinoxaline (DiMeIQx), 2-Amino-3-methylimidazo[4,5-f]quinoline (IQ), 1-Methyl-9H-pyrido[3,4-b]indole (harman), and 9H-pyrido[3,4-b]indole (norharman) — in six Nigerian food preparations (grilling of popular delicacies — including suya, kilishi, asun, and smoked catfish (eja aro)) using validated liquid chromatography–tandem mass spectrometry (LC-MS/MS) under three cooking modalities (charcoal grilling, pan-frying, oven-roasting). The inhibitory potential of five natural marinade formulations — …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 1–11 Read article
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Role of Hybrid Controller Based FACTS Devices in Relieving Power Crisis
Abstract: The power crisis is a global concern for research and development engineers. These issues may be summarized manifold. These issues may be sudden outage/ failure of power system network, considerable power loss on the line, the voltage flickers, lack of proper equipment’s to monitor and protection, presence of significant harmonic level in the line that affects the performance of the equipment connected to line. Some of these issues may persist …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 1, 2022 · pp. 1–10 Read article
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Federated Learning for Privacy-Preserving AI Model Training Across Distributed Healthcare Systems
Abstract: Building effective AI diagnostic tools in clinical environments presents a fundamental contradiction — the patient data most critical to model performance is precisely the data subject to the strictest legal and institutional restrictions. Regulations such as HIPAA and GDPR, while essential for protecting patient rights, render conventional centralized training pipelines largely impractical in real hospital settings where data cannot be transferred, pooled, or shared across institutional boundaries. This paper presents …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Landuse Planning and Groudwater resource Management: Using DRASTIC model for Surat, India
Abstract: AbstractWater is known to be a precondition for human, animal and plant life. Being one of the comparatively reliable and safe sources for drinking purpose, it also provides various ecological services and is the backbone for life supporting system on the earth. Groundwater is one of the major sources of replenish-able water on the earth and constitutes approximately 30.1% of liquid fresh water whereas nearly 70 percent is locked within …
Published in Journal of Water Pollution & Purification Research · Vol. 4, Issue 1, 2017 · pp. 4–16 Read article
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Assessment of Quality of Life and Coping Strategies Used by Amputated Patients Attending Orthopedics OPD to Provide Rehabilitation Program: A Descriptive Study
Abstract: Introduction: Amputation is defined as the surgical removal of a body appendage such as limbs. It has a profound social, economic, physical and psychological impact on patients. Objectives of the study: To assess the quality of life and coping-strategies used by an amputated patient and to determine an association between the quality of life and coping-strategies with selected socio-demographic variables at Pt. B. D. Sharma, PGIMS, Rohtak. Material and Method: …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 23–39 Read article
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Simulation and Performance Based Comparison of Artificial Intelligence Based Shunt Active Power Filter in High Frequency Aircraft System for Power Quality Improvement
Abstract: Synchronous reference frame strategy for extracting reference currents for shunt active power filters have been optimized by using fuzzy logic control and adaptive tabu search algorithm respectively; their performances have been compared. The acute analysis of comparison of the compensation capability based on THD and speed will be done and recommendations will be given for the choice of technique to be used. The simulated results using MATLAB model are shown …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 32–41 Read article
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Studies of Mathematics: A Review of Research Trends, Themes and Implications
Abstract: This review examines contemporary research trends, thematic developments, and emerging implications within the field of mathematics education and mathematical studies. Drawing on a synthesis of recent scholarly literature, it explores how mathematics as both a discipline and a pedagogical practice continues to evolve in response to technological advancements, interdisciplinary applications, and changing educational paradigms. Major research trends reveal a growing emphasis on problem-based learning, mathematical modeling, and the integration of …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 19–24 Read article