6 papers
Herculean: An Agentic Benchmark for Financial Intelligence
Xueqing Peng, Zhuohan Xie, Yupeng Cao +60
As AI agents improve, the central question is no longer whether they can solve isolated well-defined financial tasks, but whether they can reliably carry out financial professional…
Dual-Temporal LSTM with Hybrid Attention for Airline Passenger Load Factor Forecasting: Integrating Intra-Flight and Inter-Flight Booking Dynamics
ASM Nazrul Islam, Md. Hasanul Kabir, Md. Liakot Ali +1
Accurate short-term demand forecasting is crucial to airline revenue management, yet most existing systems fail to meet this need because current models treat booking data as a sin…
Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors
Md. Safirur Rashid, Sabbir Ahmed, Muhammad Usama Islam +2
Despite the strong performance of Convolutional Neural Networks (CNNs) in disease classification, their effectiveness often depends on access to large annotated datasets, which is…
Virtual Try-On for Cultural Clothing: A Benchmarking Study
Muhammad Tausif Ul Islam, Shahir Awlad, Sameen Yeaser Adib +3
Although existing virtual try-on systems have made significant progress with the advent of diffusion models, the current benchmarks of these models are based on datasets that are d…
Rep3Net: An Approach Exploiting Multimodal Representation for Molecular Bioactivity Prediction
Sabrina Islam, Md. Atiqur Rahman, Md. Bakhtiar Hasan +1
Accurate prediction of compound potency accelerates early-stage drug discovery by prioritizing candidates for experimental testing. However, many Quantitative Structure-Activity Re…
A Domain-Adapted Lightweight Ensemble for Resource-Efficient Few-Shot Plant Disease Classification
Anika Islam, Tasfia Tahsin, Zaarin Anjum +2
Accurate and timely identification of plant leaf diseases is essential for resilient and sustainable agriculture, yet most deep learning approaches rely on large annotated datasets…