Zobrazeno 1 - 10
of 15 623
pro vyhledávání: '"Zia, P."'
Autor:
Zia, Danilo, Zitelli, Mario, Carvacho, Gonzalo, Spagnolo, Nicolò, Sciarrino, Fabio, Wabnitz, Stefan
Mode-division multiplexing using multimode optical fibers has been intensively studied in recent years, in order to alleviate the transmission capacity crunch. Moreover, the need for secure information transmission based on quantum encryption protoco
Externí odkaz:
http://arxiv.org/abs/2412.17578
This research presents an innovative approach to cancer diagnosis and prediction using explainable Artificial Intelligence (XAI) and deep learning techniques. With cancer causing nearly 10 million deaths globally in 2020, early and accurate diagnosis
Externí odkaz:
http://arxiv.org/abs/2412.17527
Agricultural workers play a vital role in the global economy and food security by cultivating, transporting, and processing food for populations worldwide. Despite their importance, detailed spatial data on the global agricultural workforce have rema
Externí odkaz:
http://arxiv.org/abs/2412.15841
Objective: This study examines how well leading Chinese and Western large language models understand and apply Chinese social work principles, focusing on their foundational knowledge within a non-Western professional setting. We test whether the cul
Externí odkaz:
http://arxiv.org/abs/2412.14971
Colloidal dispersions undergo phase transitions upon changes in volume fraction and interparticle forces, but exploration of when and how such phase transitions occur raises paradoxes. Phase behavior of purely repulsive hard-sphere (PRHS) colloids is
Externí odkaz:
http://arxiv.org/abs/2412.05422
This paper introduces TemporalVLM, a video large language model capable of effective temporal reasoning and fine-grained understanding in long videos. At the core, our approach includes a visual encoder for mapping a long-term input video into featur
Externí odkaz:
http://arxiv.org/abs/2412.02930
The search for what differentiates inanimate matter from living things began in antiquity as a search for a "fundamental life force" embedded deep within living things - a special material unit owned only by life - later transforming to more circumsp
Externí odkaz:
http://arxiv.org/abs/2412.01743
Autor:
Ramzan, Muhammad Umer, Zia, Ali, Khamis, Abdelwahed, Elgharabawy, yman, Liaqat, Ahmad, Ali, Usman
This paper presents a novel deep-learning framework that significantly enhances the transformation of rudimentary face sketches into high-fidelity colour images. Employing a Convolutional Block Attention-based Auto-encoder Network (CA2N), our approac
Externí odkaz:
http://arxiv.org/abs/2411.19005
Autor:
Pierson, Matthew, Mehrabi, Zia
Waterways shape earth system processes and human societies, and a better understanding of their distribution can assist in a range of applications from earth system modeling to human development and disaster response. Most efforts to date to map the
Externí odkaz:
http://arxiv.org/abs/2412.00050
Autor:
Pierson, Matthew, Mehrabi, Zia
Surprisingly a number of Earth's waterways remain unmapped, with a significant number in low and middle income countries. Here we build a computer vision model (WaterNet) to learn the location of waterways in the United States, based on high resoluti
Externí odkaz:
http://arxiv.org/abs/2411.13590