Zobrazeno 1 - 10
of 8 892
pro vyhledávání: '"AKHTER, P."'
A distributed denial-of-service (DDoS) attack is an attempt to produce humongous traffic within a network by overwhelming a targeted server or its neighboring infrastructure with a flood of service requests ceaselessly coming from multiple remotely c
Externí odkaz:
http://arxiv.org/abs/2411.14512
Monitoring agricultural activities is important to ensure food security. Remote sensing plays a significant role for large-scale continuous monitoring of cultivation activities. Time series remote sensing data were used for the generation of the crop
Externí odkaz:
http://arxiv.org/abs/2411.12667
Agriculture activity monitoring needs to deal with large amounts of data originating from various organizations (weather stations, agriculture repositories, field management, farm management, universities, etc.) and mass people. Therefore, a scalable
Externí odkaz:
http://arxiv.org/abs/2411.12303
Autor:
Rico, Julian Carvajal, Alaeddini, Adel, Faruqui, Syed Hasib Akhter, Fisher-Hoch, Susan P, Mccormick, Joseph B
Predicting the emergence of multiple chronic conditions (MCC) is crucial for early intervention and personalized healthcare, as MCC significantly impacts patient outcomes and healthcare costs. Graph neural networks (GNNs) are effective methods for mo
Externí odkaz:
http://arxiv.org/abs/2409.13671
Autor:
Khan, Asifullah, Sohail, Anabia, Fiaz, Mustansar, Hassan, Mehdi, Afridi, Tariq Habib, Marwat, Sibghat Ullah, Munir, Farzeen, Ali, Safdar, Naseem, Hannan, Zaheer, Muhammad Zaigham, Ali, Kamran, Sultana, Tangina, Tanoli, Ziaurrehman, Akhter, Naeem
Deep supervised learning models require high volume of labeled data to attain sufficiently good results. Although, the practice of gathering and annotating such big data is costly and laborious. Recently, the application of self supervised learning (
Externí odkaz:
http://arxiv.org/abs/2408.17059
Autor:
Akhter, Kazi Fuad Bin, Mobasshira, Sadia, Haque, Saief Nowaz, Hesham, Mahjub Alam Khan, Ahmed, Tanvir
The precise forecasting of electricity demand also referred to as load forecasting, is essential for both planning and managing a power system. It is crucial for many tasks, including choosing which power units to commit to, making plans for future p
Externí odkaz:
http://arxiv.org/abs/2406.06651
This research addresses the challenges of diagnosing chest X-rays (CXRs) at low resolutions, a common limitation in resource-constrained healthcare settings. High-resolution CXR imaging is crucial for identifying small but critical anomalies, such as
Externí odkaz:
http://arxiv.org/abs/2405.13370
Recently, there has been an increasing interest in exploring the application of multiobjective optimization (MOO) in machine learning (ML). The interest is driven by the numerous situations in real-life applications where multiple objectives need to
Externí odkaz:
http://arxiv.org/abs/2405.01480
Autor:
Faruqui, Syed Hasib Akhter, Tasnim, Nazia, Basith, Iftekhar Ibne, Obeidat, Suleiman, Yildiz, Faruk
Learning never ends, and there is no age limit to grow yourself. However, the educational landscape may face challenges in effectively catering to students' inclusion and diverse learning needs. These students should have access to state-of-the-art m
Externí odkaz:
http://arxiv.org/abs/2405.00330
The reasoning capabilities of LLMs are currently hotly debated. We examine the issue from the perspective of claim/rumour verification. We propose the first logical reasoning framework designed to break down any claim or rumour paired with evidence i
Externí odkaz:
http://arxiv.org/abs/2402.10735