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Navigating a Patent Gap for AI and Machine Learning Algorithms
Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...
IEEE28d
A New Method to Improve the CNN Configuration for IoT Attack Detection Problem Based on the Genetic Algorithm and Multi-Objective Approach
This paper proposes a new method to enhance the configuration of convolutional neural network for IoT attack detection based on genetic algorithm and multi-objective approaches. According to the multi ...
Medscape28d
Deep Learning Aids Diagnosis of Chronic Pancreatitis - Medscape
A deep learning–based model accurately performs automated processing of CT scans of the pancreas of individuals with and without chronic pancreatitis, according to a study.
IEEE1mon
How to Accurately Monitor the Weld Penetration From Dynamic Weld Pool Serial Images Using CNN-LSTM Deep Learning Model? - IEEE Xplore
As such, although a deep learning model may extract information that is already there, the raw information may not be sufficient. Hence, a model that is capable of extracting information from dynamic ...
IEEE1mon
Empowering Wildlife Conservation with a Fused CNN-SVM Deep Learning Model for Multi-Classification Using Drone-Based Imagery - IEEE Xplore
The preservation of wildlife holds significant worldwide significance, particularly in light of the escalating risks posed to biodiversity and ecosystems. In the present situation, the incorporation ...
IEEE1mon
Two-Phase Virtual Network Function Selection and Chaining Algorithm Based on Deep Learning in SDN/NFV-Enabled Networks - IEEE Xplore
With the advances of Software-Defined Networks (SDN) and Network Function Virtualization (NFV), Service Function Chain (SFC) has been becoming a popular paradigm to carry and complete network services ...
IEEE1mon
Benchmarking Class Incremental Learning in Deep Learning Traffic Classification
Traffic Classification (TC) is experiencing a renewed interest, fostered by the growing popularity of Deep Learning (DL) approaches. In exchange for their proved effectiveness, DL models are ...