An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Khapra joins figures like Musk and Altman, recognised for his pioneering work in natural language processing and MI, with a ...

1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet drought, the most insidious stressor, remains largely silent until its damage ...

ABSTRACT: Phishing attacks remain a pervasive threat in the cybersecurity landscape, necessitating intelligent and scalable detection mechanisms. This paper suggests a deep learning-based method for ...

ABSTRACT: Phishing attacks remain a pervasive threat in the cybersecurity landscape, necessitating intelligent and scalable detection mechanisms. This paper suggests a deep learning-based method for ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Abstract: The goal of the project is to use modern technology to produce special effects for film and television. A Viewpoint on Statistical Machine Learning for an Enhanced CNN In contrast to the ...

Objective: Femoral neck fractures are the most common type of hip fracture, and the postoperative complications associated with these fractures significantly affect patients’ quality of life and ...

Abstract: This paper presents a novel deep learning framework for classifying Babylonian numerals by integrating Convolutional Neural Networks (CNNs) with a hybrid CNN-SVM model. The core ...

Parole Board To Erik Melendez: “You Have Not Been A Model Prisoner” A California parole board has denied parole for Erik Menendez, who was convicted alongside his brother Lyle of murdering their ...