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pro vyhledávání: '"A., Noor"'
This paper provides an in-depth review and discussion of the state of the art in redundancy mitigation for the vehicular Collective Perception Service (CPS). We focus on the evolutionary differences between the redundancy mitigation rules proposed in
Externí odkaz:
http://arxiv.org/abs/2501.01200
Autor:
Aboueleneen, Noor, Bello, Yahuza, Albaseer, Abdullatif, Hussein, Ahmed Refaey, Abdallah, Mohamed, Hossain, Ekram
Autonomous Vehicles (AVs) represent a transformative advancement in the transportation industry. These vehicles have sophisticated sensors, advanced algorithms, and powerful computing systems that allow them to navigate and operate without direct hum
Externí odkaz:
http://arxiv.org/abs/2501.00211
Autor:
Sarkar, Showmitra Kumar, Haydar, Mafrid, Rudra, Rhyme Rubayet, Mazumder, Tanmoy, Nur, Md. Sadmin, Islam, Md. Shahriar, Sany, Shakib Mohammad, Noor, Tanzim Al, Ahmed, Shakil, Ahmad, Myisha, Sakib, Annajmus, Ravela, Sai
The research assesses soil salinity in the southwest coastal region of Bangladesh, collecting a total of 162 topsoil samples between March 1 and March 9, 2024, and processing them following the standard operating procedure for soil electrical conduct
Externí odkaz:
http://arxiv.org/abs/2412.19740
Tabular data is a common format for storing information in rows and columns to represent data entries and their features. Although deep neural networks have become the main approach for modeling a wide range of domains including computer vision and N
Externí odkaz:
http://arxiv.org/abs/2412.16442
Autor:
Dutta, Rajdeep, Varma, T Venkatesh, Sarkar, Saikat, Mamajiwala, Mariya, Awad, Noor, Jayavelu, Senthilnath, Roy, Debasish
Many global optimization algorithms of the memetic variety rely on some form of stochastic search, and yet they often lack a sound probabilistic basis. Without a recourse to the powerful tools of stochastic calculus, treading the fine balance between
Externí odkaz:
http://arxiv.org/abs/2412.11036
Autor:
Karjauv, Adil, Fathima, Noor, Lelekas, Ioannis, Porikli, Fatih, Ghodrati, Amir, Habibian, Amirhossein
Recent progress in diffusion-based video editing has shown remarkable potential for practical applications. However, these methods remain prohibitively expensive and challenging to deploy on mobile devices. In this study, we introduce a series of opt
Externí odkaz:
http://arxiv.org/abs/2412.06578
Autor:
Vayani, Ashmal, Dissanayake, Dinura, Watawana, Hasindri, Ahsan, Noor, Sasikumar, Nevasini, Thawakar, Omkar, Ademtew, Henok Biadglign, Hmaiti, Yahya, Kumar, Amandeep, Kuckreja, Kartik, Maslych, Mykola, Ghallabi, Wafa Al, Mihaylov, Mihail, Qin, Chao, Shaker, Abdelrahman M, Zhang, Mike, Ihsani, Mahardika Krisna, Esplana, Amiel, Gokani, Monil, Mirkin, Shachar, Singh, Harsh, Srivastava, Ashay, Hamerlik, Endre, Izzati, Fathinah Asma, Maani, Fadillah Adamsyah, Cavada, Sebastian, Chim, Jenny, Gupta, Rohit, Manjunath, Sanjay, Zhumakhanova, Kamila, Rabevohitra, Feno Heriniaina, Amirudin, Azril, Ridzuan, Muhammad, Kareem, Daniya, More, Ketan, Li, Kunyang, Shakya, Pramesh, Saad, Muhammad, Ghasemaghaei, Amirpouya, Djanibekov, Amirbek, Azizov, Dilshod, Jankovic, Branislava, Bhatia, Naman, Cabrera, Alvaro, Obando-Ceron, Johan, Otieno, Olympiah, Farestam, Fabian, Rabbani, Muztoba, Baliah, Sanoojan, Sanjeev, Santosh, Shtanchaev, Abduragim, Fatima, Maheen, Nguyen, Thao, Kareem, Amrin, Aremu, Toluwani, Xavier, Nathan, Bhatkal, Amit, Toyin, Hawau, Chadha, Aman, Cholakkal, Hisham, Anwer, Rao Muhammad, Felsberg, Michael, Laaksonen, Jorma, Solorio, Thamar, Choudhury, Monojit, Laptev, Ivan, Shah, Mubarak, Khan, Salman, Khan, Fahad
Existing Large Multimodal Models (LMMs) generally focus on only a few regions and languages. As LMMs continue to improve, it is increasingly important to ensure they understand cultural contexts, respect local sensitivities, and support low-resource
Externí odkaz:
http://arxiv.org/abs/2411.16508
Autor:
Abd, Noor Saud, Karoui, Kamel
In the current digital age, the volume of data generated by various cyber activities has become enormous and is constantly increasing. The data may contain valuable insights that can be harnessed to improve cyber security measures. However, much of t
Externí odkaz:
http://arxiv.org/abs/2411.14550
Autor:
Puspa, Sefatun-Noor, Enan, Abyad, Majumdar, Reek, Salek, M Sabbir, Comert, Gurcan, Chowdhury, Mashrur
Cyber-physical systems rely on sensors, communication, and computing, all powered by integrated circuits (ICs). ICs are largely susceptible to various hardware attacks with malicious intents. One of the stealthiest threats is the insertion of a hardw
Externí odkaz:
http://arxiv.org/abs/2411.12721
Autor:
Roy, Aurora Lithe, Siam, Md Kamrul, Prova, Nuzhat Noor Islam, Jahan, Sumaiya, Maruf, Abdullah Al
Diabetes, particularly Type 2 diabetes (T2D), poses a substantial global health burden, compounded by its associated complications such as cardiovascular diseases, kidney failure, and vision impairment. Early detection of T2D is critical for improvin
Externí odkaz:
http://arxiv.org/abs/2411.14471