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63 articles for “Extra Trees”
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Controlled Temporal Feature Ablation and Explainable Ensemble Learning for Next- Hour Residential Electricity Forecasting
Abstract: Short-term residential load forecasting is increasingly used in demand response, home energy management, and data-driven grid operation, yet reported gains are often difficult to attribute to either the forecasting algorithm or the temporal representation supplied to it. This study presents a controlled, leakage-aware evaluation of temporal feature engineering for one-hour-ahead household electricity forecasting. The public UCI Individual Household Electric Power Consumption dataset was aggregated to hourly resolution, causally imputed using …
Published in Trends in Electrical Engineering · Vol. 13, Issue 3, 2023 Read article
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Malicious Network Traffic Detection Using Hybrid Feature Selection with Ensemble Neural Network
Abstract: The detection of malicious network traffic is a critical aspect of cybersecurity, aiming to protect sensitive data and maintain the integrity of network systems. This study introduces a novel approach that combines hybrid feature selection with ensemble neural networks to enhance the accuracy and efficiency of malicious network traffic detection. The dataset used in this study was obtained from Kaggle and offers a wide-ranging and varied collection of network traffic …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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Structure-Property Modeling and Engineering Optimization of Biodegradable Starch-Cellulose Biofoams for Sustainable Packaging
Abstract: Since the packaging industry is an engineered product with complex composites that involve a close relationship between composition, processing, and performance, optimization of formulation, cellular morphology, and engineering performance of biodegradable starch-based biofoams presents a considerable challenge. This study proposes a machine-learning-aided structure–property modeling framework to design and optimize starch-based biodegradable biofoams for sustainable packaging applications. A physics-informed synthetic dataset consisting of 10,000 formulations was created based on engineering relationships …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Structure–Property Modeling of Cement-Based Multi-Component Composites Using Ensemble Machine Learning and Explainable Feature Attribution
Abstract: Accurate prediction of compressive strength is central to structure–property optimization, quality control, and sustainability-driven design in cement-based composite materials. Cementitious systems represent heterogeneous multi-phase composites composed of reactive binder matrices and dispersed aggregate phases, whose macroscopic mechanical performance emerges from complex nonlinear interactions among constituents and curing-dependent microstructural evolution. This study develops a data-driven structure–property modeling framework to quantify the nonlinear dependence of compressive strength on multi-component composite composition and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 112–131 Read article
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Class Imbalance Reduction and Training Data Selection for Cross Project Defect Prediction
Abstract: The research aims to predict errors in a targeted project using data from other projects. This project is named as the Cross-Project Defect Prediction (CPDP). There are a number of ways available to improve the predictable performance of CPDP models. However, there is no comparison of modern methods. Predictability facilitates the rational distribution of testing resources by detecting software modules that may be problematic before releasing products. If a project …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 3, 2022 · pp. 12–20 Read article
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Growth Regulatory Activities of Different Extracts of Few Ornamental Plants on Radish (Raphanus sativus) with Chemical Investigation
Abstract: AbstractAn experiment was conducted to study the effects of aqueous extracts of few ornamental plants viz. China box (Murraya exotica), Indian Medlar (Mimusops elengi), Parrot tree (Butea monosperma) Mussaenda (Mussaenda erythrephytta), Mast tree (Polyalthia longifolia) and Swamp tree (Thuja occidentalis) on the germination and growth of radish (Raphanus sativus) aqueous extract of Mussaenda plant extract showed the highest percentage of germination shoot length, root length and chlorophyll contents of radish …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 5, Issue 3, 2016 · pp. 16–20 Read article
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A Comparative Pharmacognostical and Pharmaceutical Study of Haritaki (Treesa) and Gomutra Haritaki w.s.r to Pancha Mahabhuta Composition
Abstract: Haritaki is considered as king of the medicine. It is described as prime ingredient in many formulations with different indications. Among them, Gomutra Haritaki is processed form of Haritaki which has additional qualities over Haritaki. Maintaining quality standard is must in the era of increasing demand for traditional medicines. The present study was aimed to compare pharmacognostical and pharmaceutical profile of Gomutra Haritaki with Haritaki (Treesa) alone. Haritaki (Treesa) and …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 2, Issue 3, 2015 · pp. 1–10 Read article
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Detection of Phishing Website Using URL
Abstract: Phishing attacks are one of the greatest threats to online security, where fraud websites deceive users into giving out sensitive information. Traditional methods of detection, such as blacklists and heuristic-based systems, often fail in identifying newly created or sophisticated phishing websites. This study proposes an intelligent phishing website detection system using Convolutional Neural Networks (CNNs) in analyzing URLs and associated features. Using labeled URLs, the system employs such attributes such …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 10–15 Read article
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Enhanced Multimodal Disease Prediction Using Hybrid Ensemble Learning and AutoML Techniques
Abstract: The integration of hybrid ensemble learning and automated machine learning (AutoML) is revolutionizing disease prediction by addressing the complexity, imbalance, and high dimensionality inherent in medical datasets. This paper proposes an advanced pipeline that combines diverse ensemble learning models with AutoML-based optimization to predict chronic diseases such as kidney diseas-e, Parkinson’s disease, and lung cancer. Publicly available datasets from UCI and PhysioNet repositories were preprocessed using outlier removal, normalization, and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 10–20 Read article
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TinyML-Based Real-Time Industrial Fault Detection Using Vibration Signals
Abstract: Industrial rotating machinery is commonly monitored through vibration measurements because changes in bearing condition can alter signal amplitude, impulsiveness, and spectral distribution. Cloud-centred analytics may introduce communication dependence, bandwidth demand, and response delay. Tiny Machine Learning (TinyML) offers a complementary approach by executing compact inference locally on resource-constrained edge hardware. This paper presents a reproducible, deployment-oriented workflow for vibration-based machine-state classification using statistical and spectral features with small classifiers suitable …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article
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Evaluation of the Aqueous Alcoholic Extract of Laxmi Taru for Its Anticancer Property: A Review
Abstract: Simarouba glauca is considered a very valuable medicinal herbal drug used to treat diarrhea and dysentery; hence, its bark is known as dysentery bark. Different parts of the tree treat different ailments. The bark and leaf extract of Laxmi taru (Simarouba glauca) is efficiently known for its anti-helmanthic, anti-parasitic, anti-dysentric, and anti-cancerous properties. Chemotherapy, which is most frequently used to treat cancer and is becoming more prevalent around the world, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 10, Issue 1, 2023 · pp. 28–32 Read article
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REBONDING FOREST FIBRE TO SUSTAINABLE DEPLOYMENT
Abstract: The significance of wood in artistic manipulations is unraveled to any other material used in engineering, commercial or in infrastructural uses. All this is at the cost of eco-sustainability, not directly because manufacturing remains ecofriendly, but indirectly; because forests are expended in realization of this raw material. The author pre-supposes that with the mere thought of cutting a tree, environmental degradation has already begun [1]. As a preventive measure, least …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 4, Issue 3, 2014 · pp. 11–24 Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
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A Study on the Application of Chitosan-based Composite in the Remediation of Water Pollution
Abstract: Several uses for membrane separation have been developed including microfiltration, ultrafiltration, and nanofiltration processes in the fields of biomedicine, food, and water purification. Removing agro-industrial waste is a major problem in developing nations. One polysaccharide polymer is cellulose. In this review, the history, structure, global production, and extraction of cellulose from various trees are examined. Chitosan, a biopolymer that resembles cellulose chemically, is a naturally occurring fiber that is obtained …
Published in Journal of Water Pollution & Purification Research · Vol. 10, Issue 3, 2023 · pp. 34–38 Read article
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Flood Inundation Mapping for using Sentinel-1 SAR Data for Assam during 2018
Abstract: This paper is focusing on the flood inundation mapping of Hailakandi, Assam flood during 2018 using Sentinel 1 Single Look Complex (SLC) and Ground Range Detected (GRD) data. For the analysis of water pixels, pre and post event images of SLC and GRD data were downloaded with similar specification such as same date, pat and row. Supervised classification is performed with the pre and post event of the study area …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 2, 2019 · pp. 16–25 Read article
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Evaluation of Tectona Grandis Leaf Extract As A Green Corrosion Inhibitor for Aluminium in 1M NaOH
Abstract: A kind of tropical hardwood tree called the Tectona grandis tree that is indigenous to India. The name "teak tree" is another common name for this kind of tree. It is a member of the plant family that is referred to as Lamiaceae. The primary purpose of this research is to investigate whether or not the plant extract has a corrosion-inhibiting quality. In this study, an aqueous extract of Tectona …
Published in Journal of Polymer & Composites · Vol. 2, Issue 2, 2023 · pp. 41–50 Read article
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Quinine: Past, Present, and Future Perspective in Malaria and Autoimmune Disorder
Abstract: Quinine, a natural alkaloid extracted from the bark of the cinchona tree, has traditionally played a key role in treating malaria, a disease caused by parasites of the Plasmodium genus. Since its discovery in the 17th century, quinine has evolved from a rudimentary treatment to an essential component of modern antimalarial therapies. This article explores the historical use of quinine in the fight against malaria, its role in current treatment …
Published in International Journal of Pathogens · Vol. 2, Issue 1, 2025 · pp. 24–33 Read article
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Shape Features based classification of Herbal Plants from its Powder using Microscopic Image
Abstract: An identification and classification of herbal plants from its powder using the microscopic image is a challenging task. In this paper, a new approach for identification and classification of Indian herbal plants liquorice, rhubarb and dhatura using the microscopic image is proposed. This paper evaluates the effectiveness of the shape based features with a different classifier for classification of herbal plants. The analysis of microscopic images performed in three stages: …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 48–58 Read article
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Extracting High Dimensional Data by Using Fast Clustering Based Feature Subset Selection System
Abstract: AbstractThis paper presents the feature assortment involve identifying a subset of the majority valuable features with the intention of produce companionable results the same as the inventive complete set of features. A feature assortment system could exist evaluate commencing both the effectiveness and efficiency points of analysis. Although the effectiveness concerns the point in time necessary in the direction of locate a subset of features, the efficiency is linked toward …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 3, Issue 3, 2016 · pp. 1–13 Read article
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Fake News Detection Using N-Gram Analysis and Machine Learning Algorithms
Abstract: Fake news is untrue information presented as news. Fake news easily spread than real news amongst social networking sites. Detection of fake news is an important emerging research area which is gaining popularity. The main challenge in fake news detection is limited availability of resources (datasets). This project work detects fake news using n-gram analysis and machine learning algorithms. Evaluation and comparison between two feature extraction technique namely Term Frequency …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 8, Issue 1, 2021 · pp. 33–43 Read article