Browse by Journal

Chen, Hongmei and Wang, Haifeng and Liu, Zilong and Gu, Dongbing and Ye, Wen (2024) HP3D-V2V: High-Precision 3D Object Detection Vehicle-to-Vehicle Cooperative Perception Algorithm. Sensors, 24 (7). p. 2170. DOI https://doi.org/10.3390/s24072170

Singh, Sumit Kumar and Abolghasemi, Vahid and Anisi, Mohammad Hossein (2022) Skin Cancer Diagnosis Based on Neutrosophic Features with a Deep Neural Network. Sensors, 22 (16). p. 6261. DOI https://doi.org/10.3390/s22166261

Mohamed, Elhassan and Sirlantzis, Konstantinos and Howells, Gareth and Hoque, Sanaul (2022) Optimisation of Deep Learning Small-Object Detectors with Novel Explainable Verification. Sensors, 22 (15). p. 5596. DOI https://doi.org/10.3390/s22155596

Shi, Chaoquan and Miao, Chunxiao and Zhong, Xungao and Zhong, Xunyu and Hu, Huosheng and Liu, Qiang (2022) Pixel-Reasoning-Based Robotics Fine Grasping for Novel Objects with Deep EDINet Structure. Sensors, 22 (11). p. 4283. DOI https://doi.org/10.3390/s22114283

Minhas, Saad and Khanam, Zeba and Ehsan, Shoaib and McDonald-Maier, Klaus and Hernández-Sabaté, Aura (2022) Weather Classification by Utilizing Synthetic Data. Sensors, 22 (9). p. 3193. DOI https://doi.org/10.3390/s22093193

Huang, Ru and Chen, Zijian and He, Jianhua and Chu, Xiaoli (2022) Dynamic Heterogeneous User Generated Contents-Driven Relation Assessment via Graph Representation Learning. Sensors, 22 (4). p. 1402. DOI https://doi.org/10.3390/s22041402

Adee, Rose and Mouratidis, Haralambos (2022) A Dynamic Four-Step Data Security Model for Data in Cloud Computing Based on Cryptography and Steganography. Sensors, 22 (3). p. 1109. DOI https://doi.org/10.3390/s22031109

Thomos, Nikolaos and Maugey, Thomas and Toni, Laura (2022) Machine Learning for Multimedia Communications. Sensors, 22 (3). p. 819. DOI https://doi.org/10.3390/s22030819

Azizi, Neda and Malekzadeh, Heliyeh and Akhavan, Peyman and Haass, Omid and Saremi, Shahrzad and Mirjalili, Seyedali (2021) IoT-Blockchain: Harnessing the Power of Internet of Thing and Blockchain for Smart Supply Chain. Sensors, 21 (18). pp. 1-25. DOI https://doi.org/10.3390/s21186048

Attaullah, Hasina and Anjum, Adeel and Kanwal, Tehsin and Malik, Saif Ur Rehman and Asheralieva, Alia and Malik, Hassan and Zoha, Ahmed and Arshad, Kamran and Imran, Muhammad Ali (2021) F-Classify: Fuzzy Rule Based Classification Method for Privacy Preservation of Multiple Sensitive Attributes. Sensors, 21 (14). p. 4933. DOI https://doi.org/10.3390/s21144933

Nguyen, Trinh and Hoehl, Stefanie and Vrticka, Pascal (2021) A Guide to Parent-Child fNIRS Hyperscanning Data Processing and Analysis. Sensors, 21 (12). p. 4075. DOI https://doi.org/10.3390/s21124075

Sharan, Roneel V and Xiong, Hao and Berkovsky, Shlomo (2021) Benchmarking audio signal representation techniques for classification with convolutional neural networks. Sensors, 21 (10). p. 3434. DOI https://doi.org/10.3390/s21103434

Wan Ariffin, Wan Nur Suryani Firuz and Zhang, Xinruo and Nakhai, Mohammad Reza and Rahim, Hasliza A and Ahmad, R Badlishah (2021) Online Learning Approach for Predictive Real-Time Energy Trading in Cloud-RANs. Sensors, 21 (7). p. 2308. DOI https://doi.org/10.3390/s21072308

Aquino-Brítez, Diego and Ortiz, Andrés and Ortega, Julio and León, Javier and Formoso, Marco and Gan, John Q and Escobar, Juan José (2021) Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms. Sensors, 21 (6). p. 2096. DOI https://doi.org/10.3390/s21062096

Hu, Jiejun and Reed, Martin J and Al-Naday, Mays and Thomos, Nikolaos (2021) Hybrid Blockchain for IoT—Energy Analysis and Reward Plan. Sensors, 21 (1). p. 305. DOI https://doi.org/10.3390/s21010305

Jalali, Yeganeh and Fateh, Mansoor and Rezvani, Mohsen and Abolghasemi, Vahid and Anisi, Mohammad Hossein (2021) ResBCDU-Net: A Deep Learning Framework for Lung CT Image Segmentation. Sensors, 21 (1). p. 268. DOI https://doi.org/10.3390/s21010268

Chen, Wei and Liu, Qianjie and Hu, Huosheng and Liu, Jun and Wang, Shaojie and Zhu, Qingyuan (2020) Novel Laser-Based Obstacle Detection for Autonomous Robots on Unstructured Terrain. Sensors, 20 (18). p. 5048. DOI https://doi.org/10.3390/s20185048

Sadiq, Muhammad Tariq and Yu, Xiaojun and Yuan, Zhaohui and Aziz, Muhammad Zulkifal (2020) Identification of Motor and Mental Imagery EEG in Two and Multiclass Subject-Dependent Tasks Using Successive Decomposition Index. Sensors, 20 (18). p. 5283. DOI https://doi.org/10.3390/s20185283

Jarchi, Delaram and Andreu-Perez, Javier and Kiani, Mehrin and Vysata, Oldrich and Kuchynka, Jiri and Prochazka, Ales and Sanei, Saeid (2020) Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning. Sensors, 20 (9). p. 2594. DOI https://doi.org/10.3390/s20092594

Adam, Mohammed Sani and Por, Lip Yee and Hussain, Mohammad Rashid and Khan, Nawsher and Ang, Tan Fong and Anisi, Mohammad Hossein and Huang, Zhirui and Ali, Ihsan (2019) An Adaptive Wake-Up-Interval to Enhance Receiver-Based Ps-Mac Protocol for Wireless Sensor Networks. Sensors, 19 (17). p. 3732. DOI https://doi.org/10.3390/s19173732

Awais, Muhammad and Raza, Mohsin and Ali, Kamran and Ali, Zulfiqar and Irfan, Muhammad and Chughtai, Omer and Khan, Imran and Kim, Sunghwan and Ur Rehman, Masood (2019) An Internet of Things Based Bed-Egress Alerting Paradigm Using Wearable Sensors in Elderly Care Environment. Sensors, 19 (11). p. 2498. DOI https://doi.org/10.3390/s19112498

Huang, Hui and Hu, Shiyan and Sun, Ye (2019) A Discrete Curvature Estimation Based Low-Distortion Adaptive Savitzky–Golay Filter for ECG Denoising. Sensors, 19 (7). p. 1617. DOI https://doi.org/10.3390/s19071617

Naveed, Khuram and Ehsan, Shoaib and McDonald-Maier, Klaus and ur Rehman, Naveed (2019) A Multiscale Denoising Framework using Detection Theory with Application to Images from CMOS/CCD Sensors. Sensors, 19 (1). p. 206. DOI https://doi.org/10.3390/s19010206

Jarchi, Delaram and Salvi, Dario and Tarassenko, Lionel and Clifton, David (2018) Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions. Sensors, 18 (11). p. 3705. DOI https://doi.org/10.3390/s18113705

Goudarzi, S and Kama, MN and Anisi, MH and Soleymani, SA and Doctor, F (2018) Self-Organizing Traffic Flow Prediction with an Optimized Deep Belief Network for Internet of Vehicles. Sensors, 18 (10). p. 3459. DOI https://doi.org/10.3390/s18103459

Mei, Haibo and Wang, Kezhi and Yang, Kun (2018) Joint Cache Content Placement and Task Offloading in C-RAN Enabled by Multi-Layer MEC. Sensors, 18 (6). p. 1826. DOI https://doi.org/10.3390/s18061826

Pang, C and Zhong, X and Hu, H and Tian, J and Peng, X and Zeng, J (2018) Adaptive obstacle detection for mobile robots in urban environments using downward-looking 2D LiDAR. Sensors, 18 (6). p. 1749. DOI https://doi.org/10.3390/s18061749

Muhammed, Dalhatu and Anisi, Mohammad Hossein and Zareei, Mahdi and Vargas-Rosales, Cesar and Khan, Anwar (2018) Game Theory-Based Cooperation for Underwater Acoustic Sensor Networks: Taxonomy, Review, Research Challenges and Directions. Sensors, 18 (2). p. 425. DOI https://doi.org/10.3390/s18020425

Zhu, Q and Xiao, C and Hu, H and Liu, Y and Wu, J (2018) Multi-Sensor Based Online Attitude Estimation and Stability Measurement of Articulated Heavy Vehicles. Sensors, 18 (1). p. 212. DOI https://doi.org/10.3390/s18010212

Khan, A and Ahmedy, I and Anisi, MH and Javaid, N and Ali, I and Khan, N and Alsaqer, M and Mahmood, H (2018) A localization-free interference and energy holes minimization routing for underwater wireless sensor networks. Sensors, 18 (1). p. 165. DOI https://doi.org/10.3390/s18010165

Andreu-Perez, Javier and Garcia-Gancedo, Luis and McKinnell, Jonathan and Van der Drift, Anniek and Powell, Adam and Hamy, Valentin and Keller, Thomas and Yang, Guang-Zhong (2017) Developing Fine-Grained Actigraphies for Rheumatoid Arthritis Patients from a Single Accelerometer Using Machine Learning. Sensors, 17 (9). p. 2113. DOI https://doi.org/10.3390/s17092113

Zhao, Nan and Ren, Aifeng and Zhang, Zhiya and Zhu, Tianqiao and Ur Rehman, Masood and Yang, Xiaodong and Hu, Fangming (2016) Patterns-of-Life Aided Authentication. Sensors, 16 (10). p. 1574. DOI https://doi.org/10.3390/s16101574

Tan, Caiming and Zhu, Xinhua and Su, Yan and Wang, Yu and Wu, Zhiqiang and Gu, Dongbing (2015) A New Analytic Alignment Method for a SINS. Sensors, 15 (11). pp. 27930-27953. DOI https://doi.org/10.3390/s151127930

Tahir, Ruhma and Tahir, Hasan and McDonald-Maier, Klaus (2015) Securing Health Sensing Using Integrated Circuit Metric. Sensors, 15 (10). pp. 26621-26642. DOI https://doi.org/10.3390/s151026621

Yang, Lei and Ren, Yanyun and Hu, Huosheng and Tian, Bo (2015) New Fast Fall Detection Method Based on Spatio-Temporal Context Tracking of Head by Using Depth Images. Sensors, 15 (9). pp. 23004-23019. DOI https://doi.org/10.3390/s150923004

Ehsan, Shoaib and Clark, Adrian F and Naveed ur Rehman and McDonald-Maier, Klaus D (2015) Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems. Sensors, 15 (7). pp. 16804-16830. DOI https://doi.org/10.3390/s150716804

Rehman, Naveed ur and Ehsan, Shoaib and Abdullah, Syed Muhammad Umer and Akhtar, Muhammad Jehanzaib and Mandic, Danilo P and McDonald-Maier, Klaus D (2015) Multi-scale pixel-based image fusion using multivariate empirical mode decomposition. Sensors, 15 (5). pp. 10923-10947. DOI https://doi.org/10.3390/s150510923

Al-Mulla, Mohammed R and Sepulveda, Francisco (2014) Novel Pseudo-Wavelet function for MMG signal extraction during dynamic fatiguing contractions. Sensors, 14 (6). pp. 9489-9504. DOI https://doi.org/10.3390/s140609489

Ehsan, Shoaib and Clark, Adrian and McDonald-Maier, Klaus (2013) Rapid Online Analysis of Local Feature Detectors and Their Complementarity. Sensors, 13 (8). pp. 10876-10907. DOI https://doi.org/10.3390/s130810876

Al-Mulla, MR and Sepulveda, F and Colley, MJ (2011) A Review of Non-Invasive Techniques to Detect and Predict Localised Muscle Fatigue. Sensors, 2011 (11). pp. 3545-3594. DOI https://doi.org/10.3390/s110403545

Al-Mulla, Mohamed R and Sepulveda, Francisco and Colley, Martin (2011) An autonomous wearable system for predicting and detecting localised muscle fatigue. Sensors, 11 (2). pp. 1542-1557. DOI https://doi.org/10.3390/s110201542