Showing 61 - 80 results of 80 for search '"Intel"', query time: 0.04s Refine Results
  1. 61
  2. 62

    Effective Marine Monitoring with Multimodal Sensing and Improved Underwater Robotic Perception towards Environmental Protection and Smart Energy Transition by Hamidreza FARHADI TOLIE, REN Jinchang, Md Junayed HASAN, MA Ping, Somasundar KANNAN, LI Yinhe

    Published 2024-12-01
    “…Our method integrates the Ping 360 single-beam sonar for target detection and distance measurement with depth refinement from the Intel RealSense D455 camera. A promptable segmentation model automates sonar target detection, overcoming challenges such as acoustic noise and shadowing without requiring large labeled datasets. …”
    Get full text
    Article
  3. 63
  4. 64

    A Novel Technique for Handwritten Signature Recognition by Leila Boucerredj, Karima Kechroud, Bouaziz Noureddine, Abderrahmane Khechekhouche

    Published 2024-12-01
    “…Experiments, conducted on a personal computer equipped with an NVIDIA Quadro M1200 GPU, an Intel i7 processor, and 32 GB of RAM, demonstrated the model’s exceptional performance, achieving validation accuracies of 99.60% on the MCYT-75 dataset and 99.80% on the GPDS-300 dataset. …”
    Get full text
    Article
  5. 65

    Modern approaches to digital product development in the conditions of market variability by E. V. Vasilieva, E. A. Morev

    Published 2023-10-01
    “…A comparative analysis of existing design thinking frameworks is given, including from researchers of companies and design centers such as Hasso Plattner Institute of Design at Stanford University (d.school), The HPI-Stanford Design Thinking Research Program, Stanford d.school’s Design Thinking framework (IDEO), Google, Intel. Frameworks structure the process of design thinking in 5-6 phases: from empathy, when the needs and requests of consumers are studied, to testing an innovative product or service being created. …”
    Get full text
    Article
  6. 66

    5G Fronthaul in Modular P4: eCPRI Protocol Processing and Precise BMv2 Timestamps for PTP-1588 by Atabak Nojavan, Bill Pontikakis, Francois-Raymond Boyer, Yvon Savaria

    Published 2025-01-01
    “…By implementing an eCPRI packet processing unit based on the eCPRI Specification Version 2 and inspired by Intel’s FPGA-based IP, we enable modular addition of new message types and custom packet processing functionality in P4. …”
    Get full text
    Article
  7. 67
  8. 68

    Lideratge digital en l’educació: una revisió dels últims 50 anys by Aurelio Villa Sánchez, Evelyn Pizarro Fuentes

    Published 2025-01-01
    “…Així es veu a Espanya, on la participació en programes d'alfabetització digital ha crescut notablement, i l'ús de tecnologies emergents, com la intel·ligència artificial, està en augment. La relació entre el lideratge digital i els resultats acadèmics és evident, per la qual cosa una major inversió en programes de desenvolupament professional i la promoció d'una cultura d'innovació tecnològica poden ampliar significativament les probabilitats d'èxit en la implementació de noves eines digitals. …”
    Get full text
    Article
  9. 69

    A Dual-Stage Processing Architecture for Unmanned Aerial Vehicle Object Detection and Tracking Using Lightweight Onboard and Ground Server Computations by Odysseas Ntousis, Evangelos Makris, Panayiotis Tsanakas, Christos Pavlatos

    Published 2025-01-01
    “…The UAV is equipped with a Raspberry Pi for onboard data processing, utilizing an Intel Neural Compute Stick 2 (NCS2) for accelerated object detection. …”
    Get full text
    Article
  10. 70

    Enhancing cardiac assessments: accurate and efficient prediction of quantitative fractional flow reserve by Arshia Eskandari, Sara Malek, Alireza Jabbari, Kian Javari, Nima Rahmati, Behrad Nikbakhtian, Bahram Mohebbi, Seyed Ehsan Parhizgar, Mona Alimohammadi

    Published 2025-01-01
    “…The results are both computationally and clinically user-friendly, with the accumulative pre and post-processing time of 15 min on a desktop computer (Intel i7 processor, 16 GB RAM). The proposed methodology has the potential to significantly assist clinicians with diagnosis.…”
    Get full text
    Article
  11. 71
  12. 72

    An efficient decoupled 3-D axial anisotropic resistivity inversion for magnetotelluric data with OpenMP parallelization by Wisart Thongyoy, Weerachai Siripunvaraporn, Puwis Amatayakul, Tawat Rung-Arunwan, Kiyoshi Baba

    Published 2025-01-01
    “…Both codes are based on the data space Gauss–Newton inversion method used in the WSINV3DMT code, enhanced with OpenMP parallelization and Intel MKL PARDISO direct solver for improved computational efficiency. …”
    Get full text
    Article
  13. 73

    Тестування роботи точного алгоритму для задачі про суму підмножини на різних персональних комп’ютерах... by Михайло Ленський, Ганна Михальчук

    Published 2024-06-01
    “…Тести продуктивності проводилися на трьох персональних комп'ютерах з різними конфігураціями CPU та GPU: Intel Core i5-8250U з Nvidia GeForce MX150, AMD Ryzen 7 5800H з Nvidia GeForce GTX 1650, та AMD Ryzen 5 7600 з Nvidia GeForce RTX 4070 Ti SUPER. …”
    Get full text
    Article
  14. 74

    Sparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection by Jia Xu, Han Pu, Dong Wang

    Published 2024-12-01
    “…Using the optimized accelerator, we successfully executed ResNet50 inference on an Intel Arria 10 1150GX FPGA, achieving a throughput of 497 GOPS, or an equivalent computational power of 1579 GOPS, with a power consumption of only 22 watts.…”
    Get full text
    Article
  15. 75

    Reconstruction for Time-Domain In Vivo EPR 3D Multigradient Oximetric Imaging—A Parallel Processing Perspective by Christopher D. Dharmaraj, Kishan Thadikonda, Anthony R. Fletcher, Phuc N. Doan, Nallathamby Devasahayam, Shingo Matsumoto, Calvin A. Johnson, John A. Cook, James B. Mitchell, Sankaran Subramanian, Murali C. Krishna

    Published 2009-01-01
    “…This paper presents a parallelization framework using OpenMP runtime support and parallel MATLAB to execute such computationally intensive programs. The Intel compiler is used to develop a parallel C++ code based on OpenMP. …”
    Get full text
    Article
  16. 76
  17. 77

    LoCS-Net: Localizing convolutional spiking neural network for fast visual place recognition by Ugur Akcal, Ugur Akcal, Ugur Akcal, Ivan Georgiev Raikov, Ekaterina Dmitrievna Gribkova, Ekaterina Dmitrievna Gribkova, Anwesa Choudhuri, Anwesa Choudhuri, Seung Hyun Kim, Mattia Gazzola, Rhanor Gillette, Rhanor Gillette, Ivan Soltesz, Girish Chowdhary, Girish Chowdhary, Girish Chowdhary

    Published 2025-01-01
    “…Hardware-in-the-loop tests using Intel's neuromorphic USB form factor, Kapoho Bay, show that our on-chip spiking models for VPR trained via the ANN-to-SNN conversion strategy continue to outperform their SNN counterparts, despite a slight but noticeable decrease in performance when transitioning from off-chip to on-chip, while offering significant energy efficiency. …”
    Get full text
    Article
  18. 78

    Grape Recognition and Localization Method Based on 3C-YOLOv8n and Depth Camera by LIU Chang, SUN Yu, YANG Jing, WANG Fengchao, CHEN Jin

    Published 2024-11-01
    “…The pyrealsense2 library was utilized to obtain pixel position information from the target area using the Intel RealSense D415 camera. During this process, the depth camera was used to capture images, and target detection algorithms were employed to pinpoint the location of grapes. …”
    Get full text
    Article
  19. 79

    Canadian Consensus Guidelines for the Optimal Use of Etravirine in the Treatment of HIV-Infected Adults by Marianne Harris, Jonathan B Angel, Jean-Guy Baril, Anita Rachlis, Benoit Trottier

    Published 2009-01-01
    “…Their goal was to develop guidance specifically for Canadian HIV-treating physicians on the appropriate use of etravirine (TMC125, Intelence, Tibotec BVBA, Belgium) in adult HIV-infected patients.…”
    Get full text
    Article
  20. 80

    A Nanotechnology Enhancement to Moore's Law by Jerry Wu, Yin-Lin Shen, Kitt Reinhardt, Harold Szu, Boqun Dong

    Published 2013-01-01
    “…Intel Moore observed an exponential doubling in the number of transistors in every 18 months through the size reduction of transistor components since 1965. …”
    Get full text
    Article