kamal

Dubai, UAE, September 2nd, 2025/Chainwire/–Meme coin Little Pepe ($LILPEPE) has officially crossed the $24 million milestone in its presale, marking one of the greatest fundraising achievements in the crypto market this year. With more than 15 billion tokens sold and a growing community of 39,000 holders, the primarily Ethereum-based Layer 2 project $LILPEPE has emerged … Read more

South East Asia’s fast-growing creator and small business economy is getting a new boost with the launch of GLL, a blockchain-powered platform built on the XDC Network. The company has introduced its utility token, $GLL, which it says is designed for day-to-day use rather than speculation. GLL’s approach has been to build the toolkit first … Read more

In large organizations, teams often find themselves buried under constant requests, meetings, and “urgent” tasks. Startups facing AI adoption aren’t immune to this issue either. Distractions such as vendor negotiations, pilots, and dashboard overload prevent teams from staying focused on what truly matters. Leaders responsible for AI initiatives must embrace the role of the signal … Read more

Table of Links Abstract and 1. Introduction II. Related Work III. Visual Relocalization Enhanced Pedestrian Dead Reckoning IV. Experiments V. Conclusion and References IV. EXPERIMENTS In this section, we first present the experimental setup, encompassing the necessary equipment and intricate details of the experiment. Subsequently, we conduct comprehensive experiments to assess the robustness and accuracy … Read more

Table of Links Abstract and 1. Introduction II. Related Work III. Visual Relocalization Enhanced Pedestrian Dead Reckoning IV. Experiments V. Conclusion and References III. VISUAL RELOCALIZATION ENHANCED PEDESTRIAN DEAD RECKONING A. System Design 1) System Overview: The framework of our ReLoc-PDR is depicted in Figure 1, comprising three primary modules: inertial sensor-based Pedestrian Dead Reckoning … Read more

:::info Authors: (1) Zongyang Chen, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China (zongyangChen@163.com); (2) Xianfei Pan, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China (afeipan@126.com); (3) Changhao Chen, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China … Read more

Table of Links Abstract and I. Introduction II. System Model III. Secure and Private Source Coding Regions IV. Gaussian Sources and Channels V. Proof for Theorem 1 Acknowledgment and References V. PROOF FOR THEOREM 1 A. Achievability Proof for Theorem 1 Proof Sketch: We leverage the output statistics of random binning (OSRB) method [16], [43], … Read more

Table of Links Abstract and I. Introduction II. System Model III. Secure and Private Source Coding Regions IV. Gaussian Sources and Channels V. Proof for Theorem 1 Acknowledgment and References III. SECURE AND PRIVATE SOURCE CODING REGIONS A. Lossy Source Coding The lossy secure and and private source coding region RD is characterized below; see … Read more

:::info Authors: (1) Onur Gunlu, Chair of Communications Engineering and Security, University of Siegen and Information Coding Division, Department of Electrical Engineering, Linkoping University (onur.guenlue@uni-siegen.de); (2) Rafael F. Schaefer, Chair of Communications Engineering and Security, University of Siegen (rafael.schaefer@uni-siegen.de); (3) Holger Boche, Chair of Theoretical Information Technology, Technical University of Munich, CASA: Cyber Security in … Read more

:::info Authors: (1) Jacques Peyriere, Engineering Research Center of Ministry of Education for Financial Computing and Digital Engineering, Renmin University of China, Beijing, 100872, P. R. China and Institut de Mathematiques d’Orsay, CNRS, Universite Paris-Saclay, 91405 Orsay, France; (2) Fengxia Liu (Corresponding author), Institute of Artificial Intelligence, Beihang University, Beijing, 100191, P. R. China and … Read more