Search Results - computer learning AND pattern recognition::evolution computing*

Opportunistic sensing for inferring in-the-wild human contexts based on activity pattern recognition using smart computing by Ehatisham-ul-Haq, Muhammad, Azam, Muhammad Awais

“…In recent years, with the evolution of internet-of-things and smart sensing technologies, sensor-based physical activity recognition has gained substantial prominence, and numerous research works…”
Get full text

Online Detection of Action Start via Soft Computing for Smart City by Wang, Tian, Chen, Yang, Lv, Hongqiang, Teng, Jing, Snoussi, Hichem, Tao, Fei

“… With video surveillance technologies of soft computing, such as image processing, computer vision, and pattern recognition combined with cloud computing, the construction of smart cities…”
Get full text

A Concatenational Graph Evolution Aging Model by Suo, Jinli, Chen, Xilin, Shan, Shiguang, Gao, Wen, Dai, Qionghai

“…Modeling the long-term face aging process is of great importance for face recognition and animation, but there is a lack of sufficient long-term face aging sequences for model learning…”
Get full text

D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features by Bai, Xuyang, Luo, Zixin, Zhou, Lei, Fu, Hongbo, Quan, Long, Tai, Chiew-Lan

“… Despite the fast evolution of learning-based 3D feature descriptors, little attention has been drawn to the learning of 3D feature detectors, even less for a joint learning of the two tasks…”
Get full text

Diagnosis of skin diseases in the era of deep learning and mobile technology by Goceri, Evgin

“…Efficient methods developed with deep learning in the last ten years have provided objectivity and high accuracy in the diagnosis of skin diseases…”
Get full text

CHSPAM: a multi-domain model for sequential pattern discovery and monitoring in contexts histories by Dupont, Daniel, Barbosa, Jorge Luis Victória, Alves, Bruno Mota

“… The article proposes a model, called CHSPAM, that allows the discovery of sequential patterns in contexts histories databases and keeps track of these patterns to monitor their evolution over time…”
Get full text

Seismic-driven neural intelligence coupled with hybrid evolution strategy for accurate intrusion detection in cloud-IoT systems by Saravanan, T., Pugalenthi, R.

“… In addition, most existing deep learning models and hybrid models are plagued with fixed feature engineering, poor parameter tuning, and poor contextual pattern recognition, all of which…”
Get full text

Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience: A Survey by Savelonas, Michalis A., Veinidis, Christos N., Bartsokas, Theodoros K.

“…Historically, geoscience has been a prominent domain for applications of computer vision and pattern recognition…”
Get full text

Q-learning enhanced differential evolution for feature selection in high-dimensional medical data analysis by Huang, Chenliang, Wang, Mingjing, Asghar, Heidari Ali, Wang, Zhilin, Chen, Huiling

“… In this study, we propose a hybrid optimization algorithm named QDEHHO, where Differential Evolution (DE…”
Get full text

Adaptive mobile activity recognition system with evolving data streams by Abdallah, Zahraa Said, Gaber, Mohamed Medhat, Srinivasan, Bala, Krishnaswamy, Shonali

“…s sensor rich mobile phones. Supervised learning with static models has been applied pervasively for mobile activity recognition…”
Get full text

Three-way decisions: beyond rough sets and granular computing by Liu, Dun, Yang, Xin, Li, Tianrui

“…With the fast developments of three-way decisions (3WD), this paper systematically summarizes the development track and evolution process of 3WD in recent decades…”
Get full text

Integration of IoT & cloud computing in mobile communication to breach limitation by Kanchan, Pradeep, Selvakumar, V., Lavanya, P., Kumar, Ravi, Mishra, Awakash, Haripriya, V., Ahluwalia, Gunveen

“…The evolution of cloud computing has brought great progress in data processing capabilities but advanced issues still hinder the performance of mobile applications, especially those that require fast…”
Get full text

Problem-Based Learning Diagnosis in Computing Higher Education: An Overview from Brazilian Public Institutions by Santos, Simone C. dos, Bispo, Esdras L., Santos Filho, Osmário de Carvalho, Oliveira, Rebeca Paula Alves de

“…In Computing Higher Education (CHE), the desired transformation of traditional teaching and learning methods, almost always based on the transmission of information and content-based curricula, has been the objective of several…”
Get full text

SimilCatch: Enhanced social spammers detection on Twitter using Markov Random Fields by El-Mawass, Nour, Honeine, Paul, Vercouter, Laurent

“…highlights•Social spam evolution is leading to a marked deterioration in the performance of state-of-the-art supervised classifiers…”
Get full text

Learning Situation Models in a Smart Home by Brdiczka, O., Crowley, J.L., Reignier, P.

“… learning of situation representations, and evolution of a predefined situation model with feedback…”
Get full text

Joint learning of author and citation contexts for computing drift in scholarly documents by Vijayarani, J., Geetha, T. V.

“…Scholarly documents are sources of information on research topics written by academic experts. Topic drift in such scholarly documents is usually linked with…”
Get full text

Design and Augmentation of a Deep Learning Based Vehicle Detection Model for Low Light Intensity Conditions by Vishwakarma, Pramod Kumar, Jain, Nitin

“… This study aims to meet the urgent requirement for enhanced vehicle detection in low light circumstances by developing and enhancing a deep learning-based model…”
Get full text

Self-adaptive attribute weighting for Naive Bayes classification by Wu, Jia, Pan, Shirui, Zhu, Xingquan, Cai, Zhihua, Zhang, Peng, Zhang, Chengqi

“…) for attribute weighting.•Seamlessly integrating learning objective and AIS affinity function for attribute weighting…”
Get full text

Handwritten characters recognition based on nature-inspired computing and neuro-evolution by Nebti, Salima, Boukerram, Abdellah

“… Global optimization methods provided new directions for neural networks evolution that may be useful in recognition…”
Get full text

An unsupervised statistical representation learning method for human activity recognition by Abdi, Mohammad Foad, BabaAli, Bagher, Momeni, Saleh

“… Consequently, sensor-based Human Activity Recognition (HAR) has emerged as a significant research area in the fields of ubiquitous computing and wearable computing…”
Get full text