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279 articles for “classifiers”
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Lightining Future With Non Degradable Waste
Abstract: This project focuses on addressing the growing problem of non-biodegradable waste, which creates major environmental and management issues. It proposes a smart system for waste segregation and energy production using the Arduino UNO R4 platform. The system classifies waste into three types dry, wet, and metal by using various sensors such as proximity, moisture, infrared, temperature, and weight sensors. After segregation, dry waste is sent to an incineration chamber where …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 2, 2026 Read article
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Multi-Parameter Biomedical Sensor-Based Mental State Classification Using EEG And Deep Learning Techniques
Abstract: With mental health concerns becoming increasingly widespread, there is a strong need for systems that can monitor conditions like stress, anxiety, and fatigue in a continuous and non- invasive manner. This research proposes a novel multi-parameter biomedical sensing framework for mental state classification by integrating electroencephalography (EEG) signals with physiological parameters, including body temperature acquired using LM35 sensors, heart rate from pulse sensors, and blood oxygen saturation (SpO₂) measurements. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
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Multivariant Disease Detection from Different Plant Leaves and Classification
Abstract: Agricultural growth is significant in Indian GDP which is based on yield of crops, quality of the plants and procedure of the plants taken. To maintain good quality of plant, the plant diseases should be identified and then given proper suggestions to farmers for specific fertilizers and pesticides to be used. The use of specific fertilizers or pesticides makes plant more health with good quality so that farmers can get …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 27–35 Read article
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Integrated Remote Sensing Indices for Assessing Pre-Monsoon Water Scarcity Vulnerability in a Semi-Arid Coastal Ecosystem: A Case Study of Barda Wildlife Sanctuary, Gujarat, India
Abstract: Freshwater availability fundamentally shapes the structure and function of dryland ecosystems, where evapotranspiration exceeds precipitation for most of the year. Protected areas in semiarid regions face intensifying hydrological stress from climate variability, growing wildlife populations, and resident human communities, yet systematic spatial assessments of water scarcity remain scarce for many critical habitats. The Barda Wildlife Sanctuary in coastal Gujarat, India, has recently become a secondary home for the endangered Asiatic …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Impact of Pre-Operative Nebulized Lidocaine–Dexmedetomidine Combination Versus Monotherapy on Incidence, Severity, and Patient Comfort Scores of Post-Operative Sore Throat: A Randomized Controlled Clinical Trial
Abstract: Post-operative sore throat (POST) is a common issue after endotracheal intubation and can reduce patient comfort and hinder recovery. This randomized, double-blind clinical study investigated how effective pre-operative nebulized lidocaine, dexmedetomidine, and their combination are in minimizing POST. Eligible adult patients classified as ASA I–II and scheduled for elective surgery under general anesthesia were randomly assigned to three groups. Nebulization was administered 15–20 minutes before induction using standardized dosing and …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 29–35 Read article
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Photochemical Detoxification of Arsenic- and Mercury-Contaminated Soils: Geochemical Mechanisms and Pathways
Abstract: This study evaluates the geochemical aspects of soil detoxification in areas contaminated with arsenic (As) and mercury (Hg), emphasizing sustainable strategies for improving soil health and ensuring safe crop production. The research provides an ecological and toxicological assessment of regional soils and classifies them base on the concentration and mobility of toxic elements. Although the current levels of As and Hg do not yet present a critical risk to agricultural …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 1, 2026 · pp. 06–10 Read article
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Comparative Study of BERT Variants for Sentiment Analysis with Error Analysis
Abstract: The use of media is going up fast in India, and this has led to the rise of Hinglish. Hinglish is an informal blend of Hindi and English that people commonly use in everyday conversations, especially across social media platforms such as Twitter, Facebook, and WhatsApp. People use Hinglish to talk to each other in a way that is not very formal. Hinglish blends English vocabulary with informal usage, often …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 39–48 Read article
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The Burden of Empirical Therapy: Analyzing the Predominance of Broad-Spectrum Antibiotic Usage in Lower Respiratory Tract Infections
Abstract: Lower respiratory tract infections (LRTIs) remain one of the leading causes of morbidity and hospitalization worldwide, particularly among older adults, immunocompromised individuals, and patients with chronic respiratory disorders. These infections include conditions such as community-acquired pneumonia, hospital-acquired pneumonia, bronchitis, and acute infective exacerbations of chronic lung disease, all of which often require rapid clinical intervention. Because microbiological confirmation of the causative pathogen frequently takes 48–72 hours, clinicians generally initiate empirical …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 Read article
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Enhancing Smart Grid Resilience Through AI-Based Fault Classification
Abstract: Traditional power grids can be developed into smart grids, and they are comprised of the latest information and communication technologies (ICTs), which are based on establishing the relationship between the conventional electricity systems along with the usage of smart meters and distributed generation. This dynamic improves energy efficiency and the integration of renewables. Well, the dynamic and reversible power injection from Distributed Energy Resources (DERs) creates substantial operational problems. These …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
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Review on Effect of the Chemical Composition of some Pharmaceutical Vaccines and their Biochemical Efficacy with Chemical Techniques
Abstract: Chemical compounds are fundamental components in the formulation of medicines and vaccines, playing a critical role in ensuring their safety, stability, and effectiveness. Vaccines contain a combination of active and inactive ingredients, including weakened or inactivated viruses or bacteria, toxins, preservatives, stabilizers, adjuvants, antibiotics, and minerals. The active ingredient is an antigen, which stimulates the body's immune system to recognize and defend against specific infectious diseases. Adjuvants, such as aluminum …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 01–09 Read article
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Recent Routing Protocols in UAV Networks: Classifications, Challenges, and Future Directions
Abstract: Routing protocols enable reliable communication in Unmanned Aerial Vehicle (UAV) networks, particularly Flying Ad-hoc Networks (FANETs), amid high-speed 3D mobility, dynamic topologies, and energy limits. Key challenges include intermittent links due to mobility, limited energy resources, variable network density, and the need to minimize end-to-end delay while maximizing throughput and fault tolerance. This paper classifies recent UAV routing protocols into topology-based routing protocols, position-based routing protocols, and hierarchical-based routing protocols. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 2, 2026 Read article
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A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)
Abstract: Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure . Their chief features include highly changing network topologies, lack of centralized administration, and open nature of communication, which collectively result in making MANETs of the wireless kind very susceptible to a diverse range of cyber-attacks like blackhole, greyhole, wormhole, flooding, Sybil and denial-of-service (DoS) among others. Conventionally, Intrusion Detection Systems (IDS) relying on static rule-based methods …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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A Hybrid Mathematical Model for Epidemic Outbreak Forecasting Using Machine Learning and Cloud Computing
Abstract: The increasing frequency of infectious disease outbreaks has emphasized the necessity for intelligent epidemic surveillance systems capable of predicting disease spread at an early stage. Conventional outbreak detection approaches rely heavily on delayed statistical reporting and manual monitoring techniques, resulting in reduced responsiveness during critical periods. This paper presents a mathematical predictive framework for epidemic outbreak detection using machine learning and cloud computing technologies. The proposed framework integrates the Susceptible–Infected–Recovered …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 01–06 Read article
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ASSESSING OF FOREST STRUCTURE USING EARTH OBSERVATION DATA: ACASE STUDY IN MUNESSA FOREST, OROMIA REGION, ETHIOPIA
Abstract: Forest structure is essential for estimating forest-related carbon emissions, analyzing forest degradation, and quantifying the effectiveness of forest restoration initiatives. However, forest structure quantification is only limited to the specific area of interest without considering the whole forest coverage. Remote sensing data can easily deliver a large area to assess forest structure. Therefore, this study aims to assess forest structure of Munessa Natural Forest by integrating satellite based light detection …
Published in International Journal of Land Read article
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Nutraceuticals & their classification: A Review
Abstract: The combination of "nutrition" and "pharmaceutical" is called nutraceutical. Nutraceuticals, in general, are foods or dietary components that significantly contribute to changing and preserving normal physiological function, which keeps people healthy. Nutraceuticals can be classified into various categories on the basis of their composition and mechanism of action. Nutraceuticals are food items that contain dietary fibre (DF), probiotics, prebiotics, polyunsaturated fatty acids (PUFA), antioxidants, and other herbal natural foods. These …
Published in International Journal of Land · Vol. 1, Issue 1, 2024 · pp. 11–17 Read article
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Development of an Arduino-Based Water Quality Monitoring System Using Turbidity Sensor
Abstract: Clean drinking water is essential for human health since dirty water can lead to serious diseases such as diarrhoea, cholera and typhoid and long-term diseases such as kidney damage, cancer and child development problems. Though hard water is less dangerous, it causes dry skin and kidney stones and saline water causes high blood pressure. The Water Quality Monitoring System exists as a solution against existing water safety issues. The system …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 26–31 Read article
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Real-time Water Quality Analysis Using Fuzzy Logic
Abstract: Nowadays the availability of safe drinking water is very difficult. In our project we are analysing water quality using different parameters like pH, turbidity, temperature and TDS for determining its safety level by monitoring the data from the readings. Moreover, we have a monitoring system for the data and also a webpage where all the data from these system is displayed. The sensors are connected to an Arduino Nano microcontroller …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 2, 2026 · pp. 01–11 Read article
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A Comprehensive Investigation of Bagging-Based Ensemble Methods for Improving Machine Learning Model Robustness
Abstract: Machine learning models such as Decision Trees, Logistic Regression, and K-Nearest Neighbors are widely used for classification tasks due to their simplicity and interpretability. However, these models often suffer from high variance, overfitting, and poor generalization when applied to real-world datasets, particularly those that are small, noisy, or imbalanced, as commonly encountered in healthcare, finance, and cybersecurity applications. To address these limitations, this research proposes a Bagging (Bootstrap Aggregating)-based ensemble …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 24–34 Read article
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Understanding the Role of Remote Sensing Techniques in Monitoring Air Quality for Effective Adherence to Environmental Impact Assessment Practices in Nigeria
Abstract: The paper reviews the Nigerian Environmental Impact Assessment (EIA) Act, outlining the established air quality thresholds and emission caps for stationary sources. The standard applies to; common pollutants like sulphur dioxide, carbon monoxide, ozone, particulate matter and nitrogen oxides; toxic metals such as arsenic, nickel, cadmium and mercury; as well as volatile organic compounds, ammonia, antimony, zinc, formaldehyde and radon.It also describes the major classifications of remote sensing applications, including …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article