Mitigating Crop Losses: AI-enabled Disease Detection in Tomato Plants
Fostering crop health is vital for global food security, underscoring the need for effective
disease detection. This research introduces an innovative artificial intelligence (AI) model …
disease detection. This research introduces an innovative artificial intelligence (AI) model …
From Fields to Pixels: UAV Multispectral and Field-Captured RGB Imaging for High-Throughput Wheat Spike and Kernel Counting
Wheat breeding enhances wheat crops for better environmental resistance and higher yield
potential. Experimental breeding lines are evaluated based on their yield potential, where …
potential. Experimental breeding lines are evaluated based on their yield potential, where …
Field Scale Precision: Predicting Grain Yield of Diverse Wheat Breeding Lines Using High-Throughput UAV Multispectral Imaging
This study explored how to use UAV-based multi-spectral imaging, a plot detection model,
and machine learning (ML) algorithms to predict wheat grain yield at the field scale …
and machine learning (ML) algorithms to predict wheat grain yield at the field scale …
Over-The-Air Double-Threshold Deep Learner for Jamming Detection in 5G RF domain
G Asemian, M Amini, B Kantarci… - arXiv preprint arXiv …, 2024 - arxiv.org
With the evolution of 5G wireless communications, the Synchronization Signal Block (SSB)
plays a critical role in the synchronization of devices and accessibility of services. However …
plays a critical role in the synchronization of devices and accessibility of services. However …
[PDF][PDF] Low-Brightness Object Recognition Based on Deep Learning.
SY Chiang, TY Lin - Computers, Materials & Continua, 2024 - cdn.techscience.cn
This research focuses on addressing the challenges associated with image detection in low-
light environments, particularly by applying artificial intelligence techniques to machine …
light environments, particularly by applying artificial intelligence techniques to machine …
Enhancing Flood Resilience: Streamflow Forecasting and Inundation Modeling in Pakistan
Climatic changes have increased the frequency of natural disasters, and Pakistan, as a
developing nation, is facing severe challenges in coping with floods, which have …
developing nation, is facing severe challenges in coping with floods, which have …
Performance Evaluation of Popular Deep Neural Networks for Neural Machine Translation
The field of Neural Machine Translation (NMT) has shown impressive performance for quick
and easy communication in various languages spoken all over the world. NMT helps us by …
and easy communication in various languages spoken all over the world. NMT helps us by …
Robust and Reliable Liveness Detection Models for Facial Recognition Systems
Facial Liveness Detection is instrumental in combating fraudulent practices and identity theft
by differentiating genuine faces from forgeries. Given that facial recognition is now an …
by differentiating genuine faces from forgeries. Given that facial recognition is now an …
Exploiting Partial Observability and Optimized Simple State Representations in Deep Q-Learning
The advent of deep Q-learning has opened up new possibilities in training autonomous
agents to perform intelligently in intricate settings. This research work examines the potential …
agents to perform intelligently in intricate settings. This research work examines the potential …
Leveraging AI and NLP in Chatbot Development: An Experimental Study
In the current era of chatbots, this research delves into the advancements in AI chatbots,
drawing on artificial intelligence (AI) and natural language processing (NLP) techniques to …
drawing on artificial intelligence (AI) and natural language processing (NLP) techniques to …