:: Library Catalog

Ata uhi

I tiakina i:

Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua:	Janani K, Nivethitha M, Vaishnavi S, Dr. C. M. T. Karthigeyan
Hōputu:	Recurso digital
Reo:
I whakaputaina:	Zenodo 2026
Ngā marau:	Electricity Consumption Prediction XGBoost Regression TNEB Tariff Estimation FastAPI React.js Residential Energy Management Machine Learning Smart Home Analytics Budget Forecasting Energy Dashboard
Urunga tuihono:	https://doi.org/10.5281/zenodo.19640828
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Ngā tūemi rite

SpeakUp: An Intelligent AI-Based Pronunciation Evaluation System Using Speech Processing and Natural Language Processing
mā: Unnikrishnan, Aswin
I whakaputaina: (2026)

Implementation of a Demand Forecasting System Using LSTM, XGBoost, and Temporal Fusion Transformer with a Distributed Data Pipeline
mā: Yashraj Umesh Panhalkar, me ētahi atu.
I whakaputaina: (2026)

A TSP Framework for Verifying Cosmetic Sustainability Claims on ONDC
mā: Maitri More, me ētahi atu.
I whakaputaina: (2026)

CleanSky — Making Air Quality Understandable: Technical Case Study
mā: Bobojonov, Sherzod
I whakaputaina: (2026)

Complementary Peer Matching Using Vector Space Modeling and K-Means Clustering in Intelligent E-Learning Systems
mā: Thomas, Eapen, me ētahi atu.
I whakaputaina: (2026)

EduSphere: Manage Every School, From One Cloud
mā: Tejas Chavan, me ētahi atu.
I whakaputaina: (2025)

Learn To Code Fast
mā: Akriti Singh, me ētahi atu.
I whakaputaina: (2026)

Q-Shape - Quantitative Shape Analyzer
mā: Castro Silva Junior, Henrique
I whakaputaina: (2026)

Enhancing Marble Waste Recycling Through Machine Learning: The Role of Particle Size Variation and Class Imbalance Mitigation
mā: Shambhavi Sinha
I whakaputaina: (2026)

NexGen MediaCraft: Real-Time AI News Anchoring with LLM-Based Generation and Web Scraping
mā: HAMZA, AMEER, me ētahi atu.
I whakaputaina: (2025)

Javascript script to download wos documents
mā: Ahmayev, Sharabiddin, me ētahi atu.
I whakaputaina: (2025)

Predicting Individual Energy Consumption Using Machine Learning Models
mā: K. Ramesh, me ētahi atu.
I whakaputaina: (2023)

AI-Driven Inventory and Demand Forecasting System with Automated Supplier Communication and Trend Analysis
mā: Dr. D. Stalin David, me ētahi atu.
I whakaputaina: (2026)

RESIDENTIAL TOURISM IN THE SOUTH OF SPAIN: AN APPROACH TOWARDS CONSUMPTION
mā: PILAR ALARCÓN
I whakaputaina: (2010)

A linear regression pattern for electricity price forecasting in the Iberian electricity market
mā: Ângela Paula Ferreira
I whakaputaina: (2019)

Empirical Study On the Relationship Between Government Expenditures and Nigerian Gross Domestic Products (1999 – 2022)
mā: Chukwudi Anderson Ugomma, me ētahi atu.
I whakaputaina: (2025)

ESG Transparency Dashboards for Mining and Processing: Designing Plain-Language Metrics that Increase Community Trust and Grievance-Resolution Rates
mā: Matenga, Harmony
I whakaputaina: (2025)

THE IMPACT OF CONSUMERISM ON FAST FASHION, DROPSHIPPING, AND THE SHARING ECONOMY—A LITERATURE REVIEW
mā: Adhya Subbegowda
I whakaputaina: (2025)

MODELOS DE REQUISITOS BASADOS EN I* PARA DETECTAR PROACTIVIDAD EN DASHBOARDS
mā: Alain Pérez-Acosta
I whakaputaina: (2014)

Standards for Residential Facilities for the Mentally Retarded.
I whakaputaina: (1971)

Dynamic Modeller - Improved formatting and JSON-LD handling
mā: Joseph Padfield
I whakaputaina: (2023)

Aplicación de algoritmos Random Forest y XGBoost en una base de solicitudes de tarjetas de crédito
mā: Javier Jesús Espinosa-Zúñiga
I whakaputaina: (2020)

Tariff Integration for Public Transportation in the Metropolitan Area of Bucaramanga
mā: José Carlos Jiménez Serpa
I whakaputaina: (2015)

Uso e Interpretação dos Resultados, Modelos e Ferramentas Disponíveis nos Painéis do ÆSOP
mā: Fonseca de Oliveira, Juliane, me ētahi atu.
I whakaputaina: (2025)

A Visualisation Dashboard for Contested Collective Intelligence. Learning Analytics to Improve Sensemaking of Group Discussion
mā: Thomas Daniel Ullmann
I whakaputaina: (2019)

AI Analyst - AI Powered Data Analytics Platform
mā: Mahashree A M, me ētahi atu.
I whakaputaina: (2026)

Classical Trade Protectionism 1815-1914
mā: Dormois, Jean-Pierre, me ētahi atu.
I whakaputaina: (2025)

Stock Market Price Prediction and Analysis
mā: Ajinkya Rajkar, me ētahi atu.
I whakaputaina: (2021)

Forecasting the dry bulk freight market in 2011 and 2012
mā: Sayareh, Jafar, me ētahi atu.
I whakaputaina: (2012)

Materials and Collections
mā: Hinseth, Lois
I whakaputaina: (1978)

"Exploratory Data Analysis of Swiggy Food Orders Using Power BI"
mā: Bhagwat, Riya Ganesh
I whakaputaina: (2026)

A Generalized Cross-Dataset Machine Deep Learning-based Fake News Detection Model and Dashboard Software
mā: Hussain, Sadam
I whakaputaina: (2026)

An Overview of the Real-Time Data Logging & Dashboard for Multi-User Operations and Its Application
mā: Deepika Patwal*, Suman Rani
I whakaputaina: (2025)

Climate-Driven Energy Demand Shifts in the Kisalföld Region: Historical Correlations, Future Projections, and Infrastructure Loss Implications
mā: Sztyehlik, Zsombor
I whakaputaina: (2026)

RECOMMENDATION SYSTEM FOR PERSONALIZED NUTRITIONAL SOLUTIONS USING MACHINE LEARNING TECHNIQUES
mā: Ronal-Steven Pérez-Baquero
I whakaputaina: (2024)

Proposal of Acceptable Air Tightness Classes for Buildings in Chile
mā: Ariel Bobadilla M.
I whakaputaina: (2014)

Health Resources Statistics; Health Manpower and Health Facilities, 1968. Public Health Service Publication No. 1509.
I whakaputaina: (1968)

Eficiencia energética en la trituración por impactos en la planta de zeolitas de San Andrés (Holguín, Cuba)
mā: José Ramón Hechavarría-Pérez
I whakaputaina: (2015)

WATER BILLS – ARE THEY CLEAR TO RESIDENTIAL USERS?
mā: Rita Martins
I whakaputaina: (2012)

Posture Correction Using Deep Learning
mā: T S, Nandhu, me ētahi atu.
I whakaputaina: (2026)