Search
43 articles for “data imbalance”
-
China’s Economic Performance (2020–2024): A Sectoral Index Analysis
Abstract: This study applies Laspeyres, Paasche, and Fisher ideal indices to China’s official 2020–2024 price and quantity data, quantifying sectoral inflation and real growth in agriculture, manufacturing, services, exports, and investment. Results show manufacturing experienced mild deflation (Laspeyres ≈ 98.7, implying ≈ 1.3% overall price decline) with a slight real output drop (~6.1%). A key driver was a sharp 21.4% fall in electric vehicle unit prices, despite +523% volume growth. Services …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 3, 2025 · pp. 26–38 Read article
-
A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems
Abstract: Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction. By identifying intricate patterns in clinical data, machine learning-based models have shown great promise in early disease detection, risk assessment, and personalised healthcare. However, issues with transparency, interpretability, and reliability have been brought up by the growing …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
-
Joint Estimation of CSI and IQ Imbalance, and Compensation of IQ Imbalance in Spatialy Multiplexed MIMO-OFDM Receivers
Abstract: This study presents a novel method for estimating Channel State Information (CSI) and IQ imbalance and compensating IQ imbalance in a spatially multiplexed MIMO OFDM receiver. Our approach integrates estimation of IQ imbalance with CSI estimation using an OFDM training frame, thus eliminating the need for additional pilot symbols for IQ imbalance estimation. This technique streamlines the process and avoids extra overhead. We conducted simulations on a 2×2 spatially multiplexed …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 2, 2025 · pp. 11–17 Read article
-
A Comprehensive Analysis of Classification Methods for Churn Prediction in Financial Services
Abstract: Persistent issues that affect long-term revenue in the banking sector include excessive client attrition. Customary churn models depend on measures related to customer satisfaction, which often result in low predictive accuracy due to their subjective nature. This study proposes an effective early warning model to address customer churn in financial services. Data is preprocessed through cleaning, one-hot encoding, Z-score normalization, and Min-max scaling. To handle class imbalance, the SMOTE algorithm …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 47–61 Read article
-
Explainable Machine Learning Integrated with Polymer-Based Diagnostic Technologies for Liver Health Classification
Abstract: Early and reliable assessment of liver health is essential for timely treatment, yet most machine-learning approaches face limitations such as class imbalance and low clinical interpretability. This study proposes a polymer-integrated, explainable machine-learning framework that combines SMOTE-based data balancing, Logistic Regression, and XAI techniques (SHAP and LIME) for transparent liver-health classification. In addition to ML modelling, the study emphasizes the emerging role of polymer-based biosensors, microfluidic polymer chips, polymer nanomaterials, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 631–643 Read article
-
Personalized Nutrition and Exercise: Pioneering the Path to Precision Medicine
Abstract: Preventive healthcare is about to undergo a major shift thanks to the personalised exercise and nutrition paradigm, which is based on precision medicine concepts. In order to create tailored recommendations for improving health outcomes and preventing chronic diseases, this article explores the integration of genetic profiling, metabolic evaluation, and lifestyle factors. A person's response to food and exercise depends heavily on genetic and metabolic variances, which emphasises the need of …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 2, 2024 · pp. 42–46 Read article
-
The Role of Artificial Intelligence in Enhancing Athlete Performance and Training Strategies
Abstract: Artificial Intelligence (AI) is transforming modern sports by improving athlete performance, training methods, and decision-making processes. The integration of AI technologies such as machine learning, data analytics, wearable sensors, and computer vision has enabled coaches and sports scientists to analyze large amounts of performance data with greater accuracy and efficiency. Athletes' physiological indicators, movement patterns, injury risks, and recuperation processes are all monitored by these technology. Training regimens can therefore …
Published in Recent Trends in Sports · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
-
Voltage Vigilance: Ensuring Balance and curbing Theft in Power Distribution Networks
Abstract: This project proposes a system for detecting electrical overload and earth faults using an Arduino Uno controller. The system uses a current sensor to identify overloads and a voltage sensor to detect earth faults. An ESP8266 module allows users to switch between the two fault detection modes. When an overload is detected, the Arduino turns off AC bulbs using a relay and sends an alert message via a GSM module. …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 1, 2025 · pp. 15–21 Read article
-
NPSB Fertilizer Effect on Yield of Wheat (Triticum aestivum L.) At Wolaita Zone Sodo Zuria Woreda, South Ethiopia
Abstract: Wheat (Triticum aestivum) is one of most important cereal crop in Ethiopia. The major obstacle for farmer to produce wheat in Ethiopia was low soil fertility status and nutrient imbalance. The experiment was conduct during 2019 and 2020 ‘meher’ cropping season at Kokate substation of Areka agricultural research center at sodo zuria woreda wolaita zone south Ethiopia with objectives of evaluating the effect of NPSB fertilizers rate on yield and …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 3, 2024 · pp. 46–52 Read article
-
Serum Magnesium, Iron, TIBC, and Hormonal Imbalances in Hypertensive Pregnant Women: A Comparative Study
Abstract: Pregnancy-induced hypertension (PIH), including gestational hypertension and preeclampsia, is a leading cause of maternal and fetal complications. The regulation of blood pressure and overall pregnancy health is influenced by micronutrients and hormones. This study aimed to evaluate serum magnesium, serum iron, total iron binding capacity (TIBC), thyroid profile, and quadruple marker levels in hypertensive pregnant women and compare them to normotensive controls. Methods: A total of 1056 hypertensive pregnant women …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 41–45 Read article
-
Advancing Asthma Management: The Synergy of Systems Biology, Artificial Intelligence, and Next-Generation Therapeutics
Abstract: Asthma is an inflammatory disorder of the respiratory tract that is chronic and heterogeneous in nature and has various effects on millions of people. Being a chronic inflammatory disease, asthma remains incurable and the major conventional treatments offer limited success due to the mask nature of its pathophysiology. Systems biology/(AI), and next-generation has greatly enhanced knowledge and the management of asthma. The approaches based on gene, transcript, protein, and metabolite …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 1–12 Read article
-
Depression Detection Using AI with Chatbot Support
Abstract: Depression is a major global health concern and a significant contributor to suicide rates worldwide. India reports a high number of suicide cases, making the early detection of mental distress and depression essential for timely intervention. This research presents an AI-based system for depression detection that integrates deep learning, natural language processing (NLP), and a chatbot for user support. The system analyzes facial expressions using convolutional neural networks (CNNs) and …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 01–08 Read article
-
Awareness, Behavior, and Gaps: A Survey-Based Analysis of Personal Hygiene, Home Safety, and Road Safety Practices
Abstract: Personal hygiene and public safety remain two of the most critical yet behaviorally neglected pillars of community health in India. Despite decades of national health campaigns, a persistent gap continues to exist between what people know and what they actually do — particularly among urban youth. This cross-sectional, survey-based study examined awareness levels, behavioral practices, and compliance gaps across three interconnected domains: personal hygiene, home accident prevention, and road safety, …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 65–72 Read article
-
Nanotechnology-Enhanced Battery Management System for Passive Cell Balancing in Lithium-Ion Polymer Batteries for Electric Vehicles
Abstract: The automotive industry is swiftly moving towards eco-friendly innovations, with electric vehicles (EVs) taking center stage in this transformation. A crucial component of these vehicles is the battery, particularly lithium-ion polymer batteries, which exhibit superior performance compared to other battery types. However, these batteries are sensitive to both overvoltage and undervoltage conditions, posing potential safety risks. Additionally, imbalances between individual cells can degrade battery performance and reduce its service life. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 27–34 Read article
-
A Study on the Incidence and Prevalence of Cardiovascular Morbidity and Mortality in Patients Undergoing Maintenance Hemodialysis
Abstract: Cardiovascular Disease (CVD) is a major complication for patients with end-stage renal disease (ESRD) on Hemodialysis (HD), with the mortality rate from CVD being nearly 20 times higher than in the general population. As Chronic Kidney Disease (CKD) advances, patients accumulate both traditional and kidney-specific cardiovascular risk factors, such as hypertension, diabetes, fluid overload, electrolyte imbalances, and uremic toxins. These factors contribute significantly to the increased cardiovascular morbidity and mortality …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 56–66 Read article
-
The Concept of Guillain-Barré Syndrome (GBS) in Unani Medicine and the Potential Role of Unani Pharmacology in Its Management
Abstract: Introduction: Guillain–Barré Syndrome (GBS) is an autoimmune neurological disorder characterized by progressive muscle weakness and paralysis due to immune-mediated damage to the peripheral nervous system. Conventional treatments focus on immunotherapy and supportive care, but alternative approaches, such as Unani Medicine offer promising holistic management strategies. Unani Medicine attributes GBS to humoral imbalance, particularly an excess of Balgham (Phlegm) affecting nerve function, leading to weakness and dysfunction. Objective: This study aims …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 2, 2025 · pp. 32–52 Read article
-
Electoral Engagement and Political Representation: An Analytical Study of Women’s Participation in India’s Democratic Process
Abstract: This study investigates the persistent disconnect in women’s political participation in India, where their consistently high voter turnout stands in stark contrast to their minimal presence in Parliament. Although constitutional provisions guarantee equality and women demonstrate strong engagement as voters, their representation within formal political structures remains disproportionately low. Using the 2024 Lok Sabha elections as a primary reference point, the research interrogates core questions surrounding this imbalance: Why does …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 · pp. 1–23 Read article
-
Integrative Perspectives on Lipoma: Traditional Therapeutics from Siddha, Ayurveda, and Unani with Biomedical Correlates
Abstract: Background: Lipoma is the most common benign soft tissue tumor, with an incidence of approximately 2 per 1,000 individuals annually. Modern biomedicine attributes its pathogenesis to genetic abnormalities like HMGA2 rearrangements and dysregulated adipogenesis via PPARγ pathways. Effective pharmacological therapies are lacking. Traditional Indian systems – Siddha, Ayurveda, and Unani – offer unique perspectives and non‑surgical approaches yet remain underexplored in integrative research. Objective: To critically evaluate the descriptions, pathophysiological …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 1, 2026 · pp. 19–33 Read article
-
Rising Temperatures and Surface Mass Loss in Greenland: Implications for Regional Glacier Dynamics and Global Sea Level Rise
Abstract: In Greenland, the ice sheet serves as one of the strongest indicators of global climate change, with consistently rising temperatures driving it toward an even more negative mass balance. Over the last two decades, warmer conditions have exacerbated surface melting, darkened ice, and resulted in feedback stimulating further loss. This study assesses how those temperature trends—particularly during summer peak months—have impacted the stability of Greenland's ice, and then, more importantly, …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 3, 2025 · pp. 15–22 Read article
-
A Python-Based Investigation of Clinical Data and Ultrasound Images for PCOS Diagnosis
Abstract: PCOS is a common endocrine disorder that impacts women in their reproductive years characterized by irregular menstrual cycles, hyperandrogenism, and polycystic ovaries. The full diagnostic plan is mainly a combination of a pelvic ultrasound besides blood tests of specific parameters that indicate the presence of PCOS. Since PCOS is a hard-to-diagnose widespread hormonal disorder, blood tests, symptoms, and other parameters with the help of a computer can form a new …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article