This project is sponsored by Z.ai, supporting us with their GLM CODING PLAN.GLM CODING PLAN is a subscription service designed for AI coding, starting at just $3/month. It provides access to their ...
Abstract: Lung health is one of the most minor medical issues globally because of its low mortality rate and high chance of early detection. The model presented here is a multi-model design that uses ...
Abstract: The rooted max tree coverage (MTC) problem has wide applications in areas, such as network design and vehicle routing. Given a graph with non-negative costs defined on edges, a vertex used ...
usage: run.py [-h] [--dataset DATASET] [--root ROOT] [--code-length CODE_LENGTH] [--max-iter MAX_ITER] [--topk TOPK] [--gpu GPU] ITQ_PyTorch optional arguments: -h ...
Abstract: As interconnect delay increasingly becomes the primary source of chip delay, timing analysis in the very large-scale integration (VLSI) routing process is becoming more crucial. Concurrently ...
Abstract: This research aims to study, design, and develop a brain tumor classification system using artificial intelligence, specifically decision tree algorithms. The system's primary objective is ...
Abstract: An important achievement for students and higher education institutions is timely graduation. Unfortunately, a large number of students fail to graduate on time, which can have a negative ...
Abstract: A Bounded-Degree Low-Rank Parity-Check (BD-LRPC) code is a rank-metric code that admits a parity-check matrix whose support is generated by a set of powers of an element. This specific ...
Abstract: Because of their transparency, interpretability, and efficiency in classification tasks, decision tree algorithms are the foundation of many Business Intelligence (BI) and Analytics ...
Abstract: Robot skill reconfiguration often disrupts system continuity in dynamic flexible production systems, particularly in mixed-model assembly. To address this challenge, this article proposes ...
Abstract: The gradient descent bit-flipping with momentum (GDBF-w/M) and probabilistic GDBF-w/M (PGDBF-w/M) algorithms significantly improve the decoding performance of the bit-flipping (BF) algorithm ...
Abstract: The research presents a hybrid approach to identify and categorise nutritional deficiency syndrome in citrus leaves using image processing and machine learning. The method includes ...
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