1 citations · 1 across the 10 of their papers we have counts for
12 papers
Precision Cotton Disease Management: Leveraging UAV Imagery and Custom YOLO Deep Learning Framework for Enhanced Detection
1. Anwar Iqbal*1 aiqbal. rime23smme@student. nust. edu. pk 2. Kunwar Faraz Ahmad Khan1 kunwar. faraz@smme. nust. edu. pk 3. Shahbaz Khan1 shahbaz. khan@smme. nust. edu. pk 4. Khawaja Fahad Iqbal1 fahad. iqbal@smme. nust. edu. pk 5. Sara Ali1, 2 sara. baber@smme. nust. edu. pk 6. Saqib Nazir1 saqib. nazir@smme. nust. edu. pk 7. Muhammad Azhar Javed3 muhammadazhar6231@gmail. com 1 Department of Robotics, Artificial Intelligence +10
Cotton sustains the textile economies of over 80 countries with an annual yield of 113 million bales, yet 30-60% of yield losses are still attributed to viral, bacterial, and funga…
Precise QCD Predictions for the Scotogenic Model at Colliders
Mohammed Boukidi, Camila Ramos, Richard Ruiz
Motivated by the anticipated data rates of the high-luminosity phase of the Large Hadron Collider, we report the first predictions up to next-to-leading order in quantum chromodyna…
An Interfacial Balance Rule Governs Binder-Electrolyte Coupling in Lead-Free Perovskite Energy Storage
Arun Kumar, Ayush Kumar Pandey, Ankur Yadav +4
Electrode binders are conventionally regarded as inert structural components. Here, we show that in lead-free perovskite supercapacitors, the binder defines the optimal electrolyte…
Stochasticity Is Not the Hard Part: Reduction and Complexity in Instructional Sequencing over Prerequisite DAGs
Zonglin Han, Yichen Chen, Jiawen Jiang +2
When a student must learn concepts connected by prerequisite dependencies, when does the order of instruction matter, and what does it cost to find the best one? We study instructi…
The influence of feedback on the baryonic content of haloes in the COLIBRE simulations
Jonathan J. Davies, Joop Schaye, Filip Huško +7
We present predictions for the relation between the halo gas mass fraction and halo mass, , from the COLIBRE cosmological simulations of galaxy formation…
Little Red Dots on FIRE: Exploring the formation and observational signatures of ultra-compact early galaxies
Niranjan Chandra Roy, Daniel Anglés-Alcázar, Rachel K. Cochrane +15
Little Red Dots (LRDs) are compact sources with broad Balmer lines, Balmer breaks, anomalous UV emission, rising red continuum, and uncertain origin. We use FIRE cosmological simul…
Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval
Joaquín Polonuer, Lucas Vittor, Iñaki Arango +4
Retrieving evidence for language model queries from knowledge graphs requires balancing broad search across the graph with multi-hop traversal to follow relational links. Similarit…
sketch2symm: Symmetry-aware sketch-to-shape generation via semantic bridging
Yan Zhou, Mingji Li, Xiantao Zeng +2
Sketch-based 3D reconstruction remains a challenging task due to the abstract and sparse nature of sketch inputs, which often lack sufficient semantic and geometric information. To…
GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
Eya Cherif, Arthur Ouaknine, Luke A. Brown +7
Plant traits such as leaf carbon content and leaf mass are essential variables in the study of biodiversity and climate change. However, conventional field sampling cannot feasibly…
CHaRM: Conditioned Heatmap Regression Methodology for Accurate and Fast Dental Landmark Localization
José Rodríguez-Ortega, Francisco Pérez-Hernández, Siham Tabik
Identifying anatomical landmarks in 3D dental models is essential for orthodontic treatment, yet manual placement is labor-intensive and requires expert knowledge. While machine le…
Design of Programmable Temperature Platform and its Pyroelectrocatalytic applications
Xiechao Hu, Chengxi Hu, Tieyan Guo +4
The Si based TiO2 thin films were prepared via the combination both of Sol-Gel and Spin-Coating method. The films were sintered at 850 degrees Celsius for half an hour, and the res…
GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console
Anindita Nath, Savannah Mwesigwa, Yulin Dai +2
Summary: The vast generation of genetic data poses a significant challenge in efficiently uncovering valuable knowledge. Introducing GENEVIC, an AI-driven chat framework that tackl…