Machine Learning for Computer Scientists and Data Analysts
From an Applied Perspective
Article
Derived from an effective strategy - direct and multiple-input multiple-output strategy, a modular neural network based on a bi-level particle swarm optimization algorithm (BLPSO-MNN) is proposed in the presen...
Article
Hylurgus ligniperda (Coleoptera: Curculionidae) is a worldwide forest quarantine pest. It is widely distributed, has many host tree species, and possesses strong adaptability. To explore its environmental adaptab...
Article
With an increase of severity in software vulnerabilities, machine learning models are being adopted to combat this threat. Given the possibilities towards usage of such models, research in this area has introd...
Article
Hemodialysis patients require a reasonable dietary intake to manage their disease progression effectively. However, there is limited research on these patients’ overall dietary knowledge, attitude, and practic...
Article
To approach the brain-like neural network and further improve the performance of the modular neural network (MNN), an adaptive evolutionary modular neural network with intermodule connections (EA-ICMNN) is pro...
Chapter and Conference Paper
Non-Intrusive Load Monitoring (NILM) remains a critical issue in both commercial and residential energy management, with a key challenge being the requirement for individual appliance-specific deep learning mo...
Article
Poly (ADP-ribose) polymerase inhibitors (PARPi) are selectively active in ovarian cancer (OC) with homologous recombination (HR) deficiency (HRD) caused by mutations in BRCA1/2 and other DNA repair pathway mem...
Article
Glutaraldehyde (Glut)-crosslinked porcine pericardium and bovine pericardium are mainly consisted of collagen and widely used for the preparation of heterogenous bioprosthetic heart valves (BHV), which play an...
Article
Due to the wide bandgap, TiO2 has a poor photocatalytic performance under visible light. Both defects and heterojunction can enhance the photocatalytic performance of TiO2; therefore, defects and heterojunction w...
Article
Article
Chapter
This chapter presents SensorNet that is a scalable and low-power embedded deep convolutional neural network (DCNN) designed to classify multimodal time-series signals. Time-series signals generated by differen...
Chapter
The ever-increasing complexity of modern computing systems has led to the growth of security vulnerabilities, making such systems appealing targets for increasingly sophisticated cyber-attacks. Cybersecurity f...
Chapter
We begin this chapter by explaining the need to understand data to answer different questions about the distribution of data, important features, how to transform features, how to develop models to handle a ce...
Chapter
This chapter explores many supervised machine learning algorithms that have gained significant popularity in recent applications. Supervised learning is the process of acquiring knowledge about annotated data ...
Chapter
The previous chapters discussed different supervised and unsupervised learning, in which cases the data is completely labeled or unlabeled. However, there exist other scenarios where the data is labeled partia...
Chapter
Recommender systems widely exist in a massive number of web applications including news apps, social media platforms, location-based services, and music/video sharing sites. The purpose of recommender systems ...
Chapter
Advancements in machine learning led to its adoption into numerous applications ranging from computer vision to security. Despite the achieved advancements in the machine learning, the vulnerabilities in those...
Book
Chapter
Machine learning is being increasingly utilized in mobile health applications. However, due to considerable variations among sensing platforms, users’ physiological readings, and their behavioral routines, sig...