Zobrazeno 1 - 10
of 4 053
pro vyhledávání: '"Wasi A"'
Autor:
Jonathan Wells, David Greenhalgh, Yanfeng Liang, Itamar Megiddo, Wasi Ahmad Nazni, Teoh Guat-Ney, Han Lim Lee
Publikováno v:
Communication in Biomathematical Sciences, Vol 6, Iss 2, Pp 169-188 (2023)
Classical mosquito control methods (e.g. chemical fogging) struggle to sustain long-term reductions in mosquito populations to combat vector-borne diseases like dengue. The Mosquito Home System (MHS) is an auto-dissemination mosquito trap, that kills
Externí odkaz:
https://doaj.org/article/af3e228e42cf4033a53a604da4b19c1a
Autor:
Kishor P. Gavhane, Murtaza Hasan, Dhirendra Kumar Singh, Soora Naresh Kumar, Rabi Narayan Sahoo, Wasi Alam
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract The indoor cultivation of lettuce in a vertical hydroponic system (VHS) under artificial lighting is an energy-intensive process incurring a high energy cost. This study determines the optimal daily light integral (DLI) as a function of phot
Externí odkaz:
https://doaj.org/article/0285e444b07f47ad9910e371e44fe38a
Autor:
KANCHAN SINHA, SANJEEV PANWAR, WASI ALAM, K N SINGH, BISHAL GURUNG, RANJIT KUMAR PAUL, ANIRBAN MUKHERJEE
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 88, Iss 1 (2023)
To investigate the interdependence between Indian onion markets in terms of price volatility, the present study was conducted in four different vital onion markets in India, viz. Mumbai, Nashik, Delhi and Bengaluru. The long term monthly data, from M
Externí odkaz:
https://doaj.org/article/c05270f9e78a4dd2b6f0da1c4cdac251
Autor:
Romanou, Angelika, Foroutan, Negar, Sotnikova, Anna, Chen, Zeming, Nelaturu, Sree Harsha, Singh, Shivalika, Maheshwary, Rishabh, Altomare, Micol, Haggag, Mohamed A., A, Snegha, Amayuelas, Alfonso, Amirudin, Azril Hafizi, Aryabumi, Viraat, Boiko, Danylo, Chang, Michael, Chim, Jenny, Cohen, Gal, Dalmia, Aditya Kumar, Diress, Abraham, Duwal, Sharad, Dzenhaliou, Daniil, Florez, Daniel Fernando Erazo, Farestam, Fabian, Imperial, Joseph Marvin, Islam, Shayekh Bin, Isotalo, Perttu, Jabbarishiviari, Maral, Karlsson, Börje F., Khalilov, Eldar, Klamm, Christopher, Koto, Fajri, Krzemiński, Dominik, de Melo, Gabriel Adriano, Montariol, Syrielle, Nan, Yiyang, Niklaus, Joel, Novikova, Jekaterina, Ceron, Johan Samir Obando, Paul, Debjit, Ploeger, Esther, Purbey, Jebish, Rajwal, Swati, Ravi, Selvan Sunitha, Rydell, Sara, Santhosh, Roshan, Sharma, Drishti, Skenduli, Marjana Prifti, Moakhar, Arshia Soltani, Moakhar, Bardia Soltani, Tamir, Ran, Tarun, Ayush Kumar, Wasi, Azmine Toushik, Weerasinghe, Thenuka Ovin, Yilmaz, Serhan, Zhang, Mike, Schlag, Imanol, Fadaee, Marzieh, Hooker, Sara, Bosselut, Antoine
The performance differential of large language models (LLM) between languages hinders their effective deployment in many regions, inhibiting the potential economic and societal value of generative AI tools in many communities. However, the developmen
Externí odkaz:
http://arxiv.org/abs/2411.19799
Autor:
Kuhar, Sachit, Ahmad, Wasi Uddin, Wang, Zijian, Jain, Nihal, Qian, Haifeng, Ray, Baishakhi, Ramanathan, Murali Krishna, Ma, Xiaofei, Deoras, Anoop
Recent advancements in code completion models have primarily focused on local file contexts. However, these studies do not fully capture the complexity of real-world software development, which often requires the use of rapidly-evolving public librar
Externí odkaz:
http://arxiv.org/abs/2412.04478
Graph Neural Networks (GNNs) have recently gained traction in transportation, bioinformatics, language and image processing, but research on their application to supply chain management remains limited. Supply chains are inherently graph-like, making
Externí odkaz:
http://arxiv.org/abs/2411.08550
Autor:
Islam, Mst Rafia, Wasi, Azmine Toushik
Publikováno v:
Harms and Risks of AI in the Military Workshop 2024
AI has made significant strides recently, leading to various applications in both civilian and military sectors. The military sees AI as a solution for developing more effective and faster technologies. While AI offers benefits like improved operatio
Externí odkaz:
http://arxiv.org/abs/2411.06336
Climate change poses critical challenges globally, disproportionately affecting low-income countries that often lack resources and linguistic representation on the international stage. Despite Bangladesh's status as one of the most vulnerable nations
Externí odkaz:
http://arxiv.org/abs/2410.17225
Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling
Purpose: Bangladesh's legal system struggles with major challenges like delays, complexity, high costs, and millions of unresolved cases, which deter many from pursuing legal action due to lack of knowledge or financial constraints. This research see
Externí odkaz:
http://arxiv.org/abs/2410.17210
Publikováno v:
Asian Conference on Computer Vision 2024, Lecture Notes in Computer Science (Volume 15475)
Reliable facial expression learning (FEL) involves the effective learning of distinctive facial expression characteristics for more reliable, unbiased and accurate predictions in real-life settings. However, current systems struggle with FEL tasks be
Externí odkaz:
http://arxiv.org/abs/2410.15927