Search Results - "Gaibor, Darwin Quezada"

A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges by Ometov, Aleksandr, Shubina, Viktoriia, Klus, Lucie, Skibińska, Justyna, Saafi, Salwa, Pascacio, Pavel, Flueratoru, Laura, Gaibor, Darwin Quezada, Chukhno, Nadezhda, Chukhno, Olga, Ali, Asad, Channa, Asma, Svertoka, Ekaterina, Qaim, Waleed Bin, Casanova-Marqués, Raúl, Holcer, Sylvia, Torres-Sospedra, Joaquín, Casteleyn, Sven, Ruggeri, Giuseppe, Araniti, Giuseppe, Burget, Radim, Hosek, Jiri, Lohan, Elena Simona

“…Technology is continually undergoing a constituent development caused by the appearance of billions new interconnected “things” and their entrenchment in our…”
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Scalable and Efficient Clustering for Fingerprint-Based Positioning by Torres-Sospedra, Joaquin, Quezada Gaibor, Darwin P., Nurmi, Jari, Koucheryavy, Yevgeni, Lohan, Elena Simona, Huerta, Joaquin

“…Indoor positioning based on IEEE 802.11 wireless LAN (Wi-Fi) fingerprinting needs a reference data set, also known as a radio map, in order to match the…”
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C2R: A Novel ANN Architecture for Boosting Indoor Positioning With Scarce Data by Klus, Roman, Talvitie, Jukka, Torres-Sospedra, Joaquin, Quezada Gaibor, Darwin P., Casteleyn, Sven, Cabric, Danijela, Valkama, Mikko

“…Improving the performance of artificial neural network (ANN) regression models on small or scarce data sets, such as wireless network positioning data, can be…”
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Cloud platforms for context-adaptive positioning and localisation in GNSS-denied scenarios-a systematic review by Quezada-Gaibor, Darwin, Torres-Sospedra, Joaquín, Nurmi, Jari, Koucheryavy, Yevgeni, Huerta, Joaquin

“…Cloud Computing and Cloud Platforms have become an essential resource for businesses, due to their advanced capabilities, performance, and functionalities…”
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Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 Competition by Potorti, Francesco, Torres-Sospedra, Joaquin, Quezada-Gaibor, Darwin, Jimenez, Antonio Ramon, Seco, Fernando, Perez-Navarro, Antoni, Ortiz, Miguel, Zhu, Ni, Renaudin, Valerie, Ichikari, Ryosuke, Shimomura, Ryo, Ohta, Nozomu, Kurata, Takeshi, Wei, Dongyan, Ji, Xinchun, Zhang, Wenchao, Kram, Sebastian, Stahlke, Maximilian, Mutschler, Christopher, Crivello, Antonino, Barsocchi, Paolo, Girolami, Michele, Palumbo, Filippo, Chen, Ruizhi, Wu, Yuan, Li, Wei, Yu, Yue, Xu, Shihao, Liu, Tao, Kuang, Jian, Niu, Xiaoji, Yoshida, Takuto, Nagata, Yoshiteru, Fukushima, Yuto, Fukatani, Nobuya, Hayashida, Nozomi, Asai, Yusuke, Urano, Kenta, Ge, Wenfei, Lee, Nien-Ting, Fang, Shih-Hau, Jie, You-Cheng, Young, Shawn-Rong, Chien, Ying-Ren, Yu, Chih-Chieh, Ma, Chengqi, Wu, Bang, Zhang, Wei, Wang, Yankun, Fan, Yonglei, Poslad, Stefan, Selviah, David R., Wang, Weixi, Yuan, Hong, Yonamoto, Yoshitomo, Yamaguchi, Masahiro, Kaichi, Tomoya, Zhou, Baoding, Liu, Xu, Gu, Zhining, Yang, Chengjing, Wu, Zhiqian, Xie, Doudou, Huang, Can, Zheng, Lingxiang, Peng, Ao, Jin, Ge, Wang, Qu, Luo, Haiyong, Xiong, Hao, Bao, Linfeng, Zhang, Pushuo, Zhao, Fang, Yu, Chia-An, Hung, Chun-Hao, Antsfeld, Leonid, Jiang, Haitao, Xia, Ming, Yan, Dayu, Li, Yuhang, Dong, Yitong, Silva, Ivo, Pendao, Cristiano, Meneses, Filipe, Nicolau, Maria Joao, Costa, Antonio, Moreira, Adriano, De Cock, Cedric, Plets, David, Opiela, Miroslav, Dzama, Jakub, Zhang, Liqiang, Li, Hu, Chen, Boxuan, Liu, Yu, Yean, Seanglidet, Lim, Bo Zhi, Teo, Wei Jie, Lee, Bu Sung, Oh, Hong Lye

“…Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment,…”
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SURIMI: Supervised Radio Map Augmentation with Deep Learning and a Generative Adversarial Network for Fingerprint-based Indoor Positioning by Quezada-Gaibor, Darwin, Torres-Sospedra, Joaquin, Nurmi, Jari, Koucheryavy, Yevgeni, Huerta, Joaquin

“…Indoor Positioning based on Machine Learning has drawn increasing attention both in the academy and the industry as meaningful information from the reference…”
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Auto-Encoder Extreme Learning Machine for Fingerprint-Based Positioning: A Good Weight Initialization is Decisive by Quezada-Gaibor, Darwin, Klus, Lucie, Klus, Roman, Lohan, Elena Simona, Nurmi, Jari, Valkama, Mikko, Huerta, Joaquin, Torres-Sospedra, Joaquin

“…Indoor positioning based on machinelearning models has attracted widespread interest in the last few years, given its high performance and usability…”
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Lightweight Wi-Fi Fingerprinting with a Novel RSS Clustering Algorithm by Quezada-Gaibor, Darwin, Torres-Sospedra, Joaquin, Nurmi, Jari, Koucheryavy, Yevgeni, Huerta, Joaquin

“…Nowadays, several indoor positioning solutions sup-port Wi-Fi and use this technology to estimate the user position. It is characterized by its low cost,…”
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Discovering location based services: A unified approach for heterogeneous indoor localization systems by Furfari, Francesco, Crivello, Antonino, Baronti, Paolo, Barsocchi, Paolo, Girolami, Michele, Palumbo, Filippo, Quezada-Gaibor, Darwin, Mendoza Silva, Germán M., Torres-Sospedra, Joaquín

“…The technological solutions and communication capabilities offered by the Internet of Things paradigm, in terms of raising availability of wearable devices,…”
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Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets by Quezada-Gaibor, Darwin, Klus, Lucie, Torres-Sospedra, Joaquin, Lohan, Elena Simona, Nurmi, Jari, Granell, Carlos, Huerta, Joaquin

“…Wearable and IoT devices requiring positioning and localisation services grow in number exponentially every year. This rapid growth also produces millions of…”
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Let's Talk about k-NN for Indoor Positioning: Myths and Facts in RF-based Fingerprinting by Torres-Sospedra, Joaquin, Pendao, Cristiano, Silva, Ivo, Meneses, Filipe, Quezada-Gaibor, Darwin, Montoliu, Raul, Crivello, Antonino, Barsocchi, Paolo, Perez-Navarro, Antoni, Moreira, Adriano

“…Microsoft proposed RADAR in 2000, the first indoor positioning system based on Wi-Fi fingerprinting. Since then, the indoor research community has worked not…”
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Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets by Torres-Sospedra, Joaquin, Silva, Ivo, Klus, Lucie, Quezada-Gaibor, Darwin, Crivello, Antonino, Barsocchi, Paolo, Pendao, Cristiano, Lohan, Elena Simona, Nurmi, Jari, Moreira, Adriano

“…The evaluation of Indoor Positioning Systems (IPSs) mostly relies on local deployments in the researchers' or partners' facilities. The complexity of preparing…”
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Ensembling Multiple Radio Maps with Dynamic Noise in Fingerprint-based Indoor Positioning by Torres-Sospedra, Joaquin, Aranda, Fernando J., Alvarez, Fernando J., Quezada-Gaibor, Darwin, Silva, Ivo, Pendao, Cristiano, Moreira, Adriano

“…Fingerprint-based indoor positioning is widely used in many contexts, including pedestrian and autonomous vehicles navigation. Many approaches have used…”
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RSS Fingerprinting Dataset Size Reduction Using Feature-Wise Adaptive k-Means Clustering by Klus, Lucie, Quezada-Gaibor, Darwin, Torres-Sospedra, Joaquin, Lohan, Elena Simona, Granell, Carlos, Nurmi, Jari

“…Modern IoT devices, that include smartphones and wearables, usually have limited resources. They require efficient methods to optimize the use of internal…”
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Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification by Quezada-Gaibor, Darwin, Torres-Sospedra, Joaquin, Nurmi, Jari, Koucheryavy, Yevgeni, Huerta, Joaquin

“…Machine learning models have become an essential tool in current indoor positioning solutions, given their high capa-bilities to extract meaningful information…”
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New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting by Torres-Sospedra, Joaquin, Quezada-Gaibor, Darwin, Mendoza-Silva, German M., Nurmi, Jari, Koucheryavy, Yevgeni, Huerta, Joaquin

“…Wi-Fi fingerprinting is a popular technique for Indoor Positioning Systems (IPSs) thanks to its low complexity and the ubiquity of WLAN infrastructures…”
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SURIMI: Supervised Radio Map Augmentation with Deep Learning and a Generative Adversarial Network for Fingerprint-based Indoor Positioning by Quezada-Gaibor, Darwin, Torres-Sospedra, Joaquín, Nurmi, Jari, Koucheryavy, Yevgeni, Huerta, Joaquín

“…Indoor Positioning based on Machine Learning has drawn increasing attention both in the academy and the industry as meaningful information from the reference…”
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Towards Accelerated Localization Performance Across Indoor Positioning Datasets by Klus, Lucie, Quezada-Gaibor, Darwin, Torres-Sospedra, Joaquin, Lohan, Elena Simona, Granell, Carlos, Nurmi, Jari

“…The localization speed and accuracy in the indoor scenario can greatly impact the Quality of Experience of the user. While many individual machine learning…”
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Towards Accelerated Localization Performance Across Indoor Positioning Datasets by Klus, Lucie, Quezada-Gaibor, Darwin, Torres-Sospedra, Joaquın, Lohan, Elena Simona, Granell, Carlos, Nurmi, Jari

“…The localization speed and accuracy in the indoor scenario can greatly impact the Quality of Experience of the user. While many individual machine learning…”
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Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification by Quezada-Gaibor, Darwin, Torres-Sospedra, Joaquín, Nurmi, Jari, Koucheryavy, Yevgeni, Huerta, Joaquín

“…Machine learning models have become an essential tool in current indoor positioning solutions, given their high capabilities to extract meaningful information…”
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