Navigating the Future: AI, Floods, Politics, and Entrepreneurship in Management Operations for Resilient Societies in Jakarta
This research investigates the integration of artificial intelligence (AI), flood risk
management, political dynamics, and entrepreneurship in enhancing resilient city …
management, political dynamics, and entrepreneurship in enhancing resilient city …
Exploring Multiple Instance Learning (MIL): A brief survey
Abstract Multiple Instance Learning (MIL) is a learning paradigm, where training instances
are arranged in sets, called bags, and only bag-level labels are available during training …
are arranged in sets, called bags, and only bag-level labels are available during training …
Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer
In multiple-instance learning (MIL), the existing bag encoding and attention-based pooling
approaches assume that the instances in the bag have no relationship among them. This …
approaches assume that the instances in the bag have no relationship among them. This …
End-to-end multi-perspective multimodal posts relevance score reasoning prediction
X Guo, H Cao, S Liang - Information Sciences, 2024 - Elsevier
Driven by the surge in students sharing insights on online platforms, evaluating discussion
forum posts has emerged as a significant research focus. This assessment is crucial for both …
forum posts has emerged as a significant research focus. This assessment is crucial for both …
MIL-Mixer: a robust bag encoding strategy for Multiple Instance Learning (mil) using MLP-Mixer
This paper presents a robust bag encoding strategy based on an MLP mixer. The proposed
approach introduces the mixing concept to MIL applications, which helps to generate robust …
approach introduces the mixing concept to MIL applications, which helps to generate robust …
Optimizing ESG reporting: Innovating with E-BERT models in nature language processing
Abstract Developing a quantitative Environmental, Social, and Governance (ESG) rating tool
using technology to reduce manpower requirements and ensure the objectivity and …
using technology to reduce manpower requirements and ensure the objectivity and …
Multi-Level Deep Neural Network for Distributed Denial-of-Service Attack Detection and Classification in Software-Defined Networking Supported Internet of Things …
With the increasing rates of interconnected Internet of Things (IoT) devices within Software-
Defined Networking (SDN) environments, distributed denial of service (DDoS) attacks have …
Defined Networking (SDN) environments, distributed denial of service (DDoS) attacks have …
Enhancing Breast Cancer Detection through Thermal Imaging and Customized 2D CNN Classifiers
A Raza, MT Meeran, U Bilhaj - VFAST Transactions on Software …, 2023 - vfast.org
Breast cancer is one of the most prevalent and life-threatening forms of cancer due to its
aggressive nature and high mortality rates. Early detection significantly improves a patient's …
aggressive nature and high mortality rates. Early detection significantly improves a patient's …
A crisis event classification method based on a multimodal multilayer graph model
J Wang, S Yang, H Zhao, Y Chen - Neurocomputing, 2025 - Elsevier
Quickly obtaining and classifying relevant information about crisis events via social media
platforms, such as Twitter and Weibo, plays a critical role in the subsequent rescue …
platforms, such as Twitter and Weibo, plays a critical role in the subsequent rescue …
Twitter-a new citizen science solution for urban flood database# urban floods# flood database
P Ponukumati, SK Regonda - 2023 - researchsquare.com
High spatial heterogeneous behavior of urban floods offers challenges in its monitoring,
modeling and assessment, and lack of flood database further increases complexity. This …
modeling and assessment, and lack of flood database further increases complexity. This …