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Nuzhat Khan

Universiti Teknologi Malaysia

H指数:10

被引数:645

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ReLU-DCT and LASP: Real-valued frequency-domain activations and adaptive pooling for DCT-Based CNNs

ReLU-DCT与LASP：基于DCT的卷积神经网络在实数频域激活和自适应池化

Knowledge-Based Systems

IF7.6

2026-04-150

PRE

End-to-end discrete cosine transform integration in spectral convolutional neural networks for resource-efficient deep learning

Applied Soft Computing

IF6.6

2026-01-130

PRE

A real-valued DCT-based spectral CNN architecture for efficient edge deep learning

一种基于DCT的实值谱CNN架构，用于高效的边缘深度学习

IF4.5

2025-11-210

OAAI

Advanced automated machine learning framework for photovoltaic power output prediction using environmental parameters and SHAP interpretability

RESULTS IN ENGINEERING

IF7.9

2025-03-010

OAAI

Optimal Design and Performance Analysis of Hybrid Renewable Energy System for Ensuring Uninterrupted Power Supply During Load Shedding

保证减负荷不间断供电的混合可再生能源系统优化设计与性能分析

IF3.6

2024-01-012

OA

The Potential Role of Hybrid Renewable Energy System for Grid Intermittency Problem: A Techno-Economic Optimisation and Comparative Analysis

IF3.3

2022-10-289

OA

A Solution to Mitigate Load Shedding Problem using Hybrid Energy System: Case Study of Pakistan

2022 INTERNATIONAL CONFERENCE ON GREEN ENERGY, COMPUTING AND SUSTAINABLE TECHNOLOGY (GECOST)

IF0

2022-10-260

PRE

Prediction of Oil Palm Yield Using Machine Learning in the Perspective of Fluctuating Weather and Soil Moisture Conditions: Evaluation of a Generic Workflow

IF4.1

2022-06-2712

OAAI

Techno-economic modelling of hybrid energy system to overcome the load shedding problem: A case study of Pakistan

IF2.6

2022-04-2613

OAAI

Oil Palm and Machine Learning: Reviewing One Decade of Ideas, Innovations, Applications, and Gaps

AGRICULTURE-BASEL

IF3.6

2021-08-3127

OA

A Comprehensive Review of Crop Yield Prediction Using Machine Learning Approaches With Special Emphasis on Palm Oil Yield Prediction

使用机器学习方法对作物产量预测的全面回顾，特别强调棕榈油产量预测

IF3.6

2021-01-01110

OAAI