Titlebook: Innovations in Bio-Inspired Computing and Applications; Proceedings of the 1 Ajith Abraham,Anu Bajaj,Cengiz Kahraman Conference proceedings

碎石头

Transfer Learning Based Pediatric Pneumonia Diagnosis Using Residual Attention Learningson for this high toll is the delayed diagnosis and overpriced tests. Chest X-rays, being non-invasive, painless, and cost-efficient, are preferred as the standardized test for pediatric pneumonia diagnosis. Experts study these X-rays to detect pneumonia. However, the use of lower levels of radiatio

COKE

Fuzzy Systems in Bio-inspired Computing: State-of-the-Art Literature Review the principles of biology and nature. Applications of bio-inspired computing involve genetic algorithms, neural networks, artificial immune systems, sensory networks, and others. These applications sometimes need to work under incomplete and vague data and the fuzzy set theory can help model the pr

Optimum

Anomaly Detection Frameworknd applications..The basic problems of financial organizations are the increasing number of clients, improvement of financial products and services, and anomaly detection in corporate information systems which influence productivity, reliability, and availability..The aim of the work is to develop a

SSRIS

Speech Emotion Recognition Using CNN-LSTM and Vision Transformercation between humans and machines may be made better via emotion recognition and analysis. We propose the application of attention based deep learning techniques to process and recognize speech emotions. In this paper we look at two major approaches CNN-LSTM and Mel Spectrogram-Vision Transformer b

令人作呕

Investigating Digital Addiction in the Context of Machine Learning Based System Designe and appropriate use of smartphones will help us in our daily personal and professional life. On the other hand, excessive and extreme use of smartphones may invite different kinds of physical and mental disorders. In this context, we proposed to review recent literature about digital addiction. Fi

有危险

Multiobjective Optimization of Airline Crew Management with a Genetic Algorithmg, taking into account the constraints from the European Union Aviation Safety Agency (EASA) regulating the flight time limitations (FTL). Special emphasis is put on the preferences and fairness among the crew members. This results in a multiobjective constrained optimization problem, which we solve

antecedence

atrophy

fructose

Bio-inspired Heterogeneity in Swarm Robotswarm intelligence researchers have gradually realized that they focused too much on homogeneity in design of the algorithms. Those algorithms were primarily inspired by direct observation of self-organizing systems of various animal swarms so that requirements of the algorithms were based on homogen

GUILT

Software Defect Prediction Using Cellular Automata as an Ensemble Strategy to Combine Classificationpable of identifying software modules prone to failure from machine learning techniques. The choice of the most appropriate techniques relies on the characteristics of each problem/context and the previous knowledge of the available methods. One way to address this limitation is to combine several t