A sigmoid function is necessary for creation a chaotic neural network (CNN). In this paper, a new function for CNN is proposed that it can increase the speed of convergence. In the proposed method, we use a novel signal for controlling chaos. Both the theory analysis and computer simulation results show that the performance of CNN can be improved remarkably by using our method. By means of this...

According to the motor vehicle safety division, over past 5-10 years, usage of vehicles has rapidly increased, in that specifical cars grown tremendously. The major contribution this paper is a systematic evaluation scholarly literature on driver distraction detection techniques. Our framework offers overview evaluated methodologies for detecting attention. So, we need develop model classifies ...

<span lang="EN-US">The investigation of a deep neural network for pedestrian classification using transfer learning methods is proposed in this study. The development convolutional networks has significantly improved the autonomous driver assistance system classification. However, presence partially occluded parts and appearance variation under complex scenes are still robust to challenge...

Convolutional neural network (CNN) has a high recognition rate in image and are used embedded systems such as smartphones, robots self-driving cars. Low-end FPGAs candidates for platforms because they achieve real-time performance at low cost. However, CNN significant parameters called weights internal data feature maps, which pose challenge memory capacity. To solve these problems, we exploit ...

Jackfruit (Artocarpus integer) and Cempedak heterophyllus) are two different Southeast Asian fruit species from the same genus that quite similar in their external appearance, therefore, sometimes difficult to be recognized visually by humans, especially form of pictures. Convolutional neural networks (CNN) transfer learning can provide an excellent solution recognize fruits, where methods know...

Arsitektur deep learning VGG16 terbukti efektif dalam hal melakukan klasifikasi citra pada dataset ImageNet, akan tetapi memiliki keterbatasan jumlah parameter sangat banyak dan potensi overfitting kecil. SVM kelebihan menangani masalah yang relatif kecil, sementara keunggulan mengekstraksi fitur berkualitas dari dengan performa baik. juga dapat membantu memperbaiki kinerja meminimalkan risiko ...

Infertility is one of the diseases in which researchers are interested. disease a global health concern, and andrologists constantly looking for more advanced solutions this disease. The intracytoplasmic sperm injection (ICSI) process considered as most common procedures achieving fertilization. Sperm selection performed using visual assessment dependent upon skills laboratory technicians such ...

The world is facing a pandemic due to the coronavirus disease 2019 (COVID-19), named as per World Health Organization. COVID-19 caused by virus called severe acute respiratory syndrome 2 (SARS-CoV-2), which was initially discovered in late December Wuhan, China. Later, had spread throughout within few months. has become global health crisis because millions of people worldwide are affected this...

Beetles (Order Coleoptera) are the largest order of animals. a group insects that make up Coleoptera. Estimates total number living beetle species millions whose features it difficult to visually identify species. Currently, classification process is still carried out using direct observation and personal assumptions. CNN model ResNet50 one ResNet variants has 50 layers VGG16 utilizes convoluti...

Gait refers to a person’s particular movements and stance while moving around. Although each gait is unique made up of variety tiny limb orientations body positions, they all have common characteristics that help define normalcy. Swiftly identifying such are difficult spot by the naked eye, can in monitoring elderly who require constant care support. Analyzing silhouettes easiest way assess mak...