„Graph Machine Learning“

Suchergebnisse

3.871 Treffer

• Development of machine learning analyses with graph neural network for the WASA-FRS experiment
  Ekawa, H. ; Dou, W. ; Gao, Y. ; He, Y. ; Kasagi, A. ; Liu, E. ; Muneem, A. ; Nakagawa, M. ; Rappold, C. ; Saito, N. ; Saito, T. R. ; Taki, M. ; Tanaka, Y. K. ; Wang, H. ; Yoshida, J.
• HetGNN-SF: Self-supervised learning on heterogeneous graph neural network via semantic strength and feature similarity
  Li, Chao ; Liu, Xinming ; Yan, Yeyu ; Zhao, Zhongying ; Zeng, Qingtian
• Machine learning approach for detecting Covid-19 from speech signal using Mel frequency magnitude coefficient
  Nayak, Sudhansu Sekhar ; Darji, Anand D. ; Shah, Prashant K.
• Machine‐Learning‐Aided NO 2 Discrimination with an Array of Graphene Chemiresistors Covalently Functionalized by Diazonium Chemistry
  Freddi, Sonia ; Rodriguez Gonzalez, Miriam C. ; Casotto, Andrea ; Sangaletti, Luigi ; De Feyter, Steven
• EEG Datasets in Machine Learning Applications of Epilepsy Diagnosis and Seizure Detection
  Handa, Palak ; Mathur, Monika ; Goel, Nidhi
• Identifying Application Areas for Machine Learning in the Retail Sector – A Literature Review and Interview Study
  Brackmann, Clemens ; Hütsch, Marek ; Wulfert, Tobias
• Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-Based Recruitment
  Peña, Alejandro ; Serna, Ignacio ; Morales, Aythami ; Fierrez, Julian ; Ortega, Alfonso ; Herrarte, Ainhoa ; Alcantara, Manuel ; Ortega-Garcia, Javier
• Explaining Eye Diseases Detected by Machine Learning Using SHAP: A Case Study of Diabetic Retinopathy and Choroidal Nevus
  Shakeri, Esmaeil ; Crump, Trafford ; Weis, Ezekiel ; Mohammed, Emad ; Souza, Roberto ; Far, Behrouz
• Detecting whether L1 or other lumbar levels would be excluded from DXA bone mineral density analysis during opportunistic CT screening for osteoporosis using machine learning
  Sebro, Ronnie ; De la Garza-Ramos, Cynthia ; Peterson, Jeffrey J.
• An analysis of the robustness of UAV agriculture field coverage using multi-agent reinforcement learning
  Marwah, Nirmal ; Singh, Vivek Kumar ; Kashyap, Gautam Siddharth ; Wazir, Samar
• Modelling and simulation of lac-operon gene expression using heterogeneous parallel platforms
  Bhat, Nayana G. ; Balaji, S.
• Demonstration of graphene-assisted tunable surface plasmonic resonance sensor using machine learning model
  Rastogi, Kushagra ; Sharma, Anuj Kumar ; Prajapati, Yogendra Kumar
• Partial product based improved reconfigurable FIR filter with control logic for automated guided vehicles on virtex-7 FPGA
  Tayal, Vaishali ; Jhamb, Mansi
• Active inductor based cross coupled differential ring voltage controlled oscillator for UWB applications
  Kiloo, Misbah Manzoor ; Singh, Vikram ; Kumar, Manoj ; Kumar, Nitin ; Tripathi, Neeraj ; Bhardwaj, Anil
• Development of IoT based smart monitor and control system using MQTT protocol and Node-RED for parabolic greenhouse solar drying
  Choosumrong, Sittichai ; Hataitara, Rhutairat ; Panumonwatee, Gitsada ; Raghavan, Venkatesh ; Nualsri, Chatchawin ; Phasinam, Thanwamas ; Phasinam, Khongdet
• HDL-ready MAC layer implementation for multi-node Li-Fi communications
  Km, Athira ; Duttagupta, Subhasri
• Accurate dynamic response expressions for electrostatically actuated RF-MEMS switches with damping effect
  Angira, Mahesh
• Grey wolf optimization based fractional order PID controller in SSSC on damping low frequency oscillation in interconnected multi-machine power system
  Madhusudhan, M. ; Pradeepa, H. ; Jayasankar, V. N.
• Performance analysis and modeling based on LTE-A field measurements: a city center example
  Kurnaz, Cetin ; Kola, Ahmet Furkan ; Esenalp, Murat Oguz
• Audio source separation by estimating the mixing matrix in underdetermined condition using successive projection and volume minimization
  Kumar, V. Anil ; Rao, Ch. V. Rama ; Leema, N.