The algorithm to define the study population. by Michael C. Reed (6622226)

Description of the dataset used for the machine learning algorithm. by Tri Ngo Quang (20390189)

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

Subjects:

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

Improve algorithm settings. by Hui Zhao (7395)

Subjects:

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Table 4_Biomarkers in glioblastoma and degenerative CNS diseases: defining new advances in clinical usefulness and therapeutic molecular target.xlsx by Fan Bu (1563562)

Table 3_Biomarkers in glioblastoma and degenerative CNS diseases: defining new advances in clinical usefulness and therapeutic molecular target.xlsx by Fan Bu (1563562)

Table 1_Biomarkers in glioblastoma and degenerative CNS diseases: defining new advances in clinical usefulness and therapeutic molecular target.docx by Fan Bu (1563562)

Table 2_Biomarkers in glioblastoma and degenerative CNS diseases: defining new advances in clinical usefulness and therapeutic molecular target.xlsx by Fan Bu (1563562)

Phases of proposed algorithm. by Muhammad Abdullah (3357692)

“…To address these limitations, this paper proposes a novel diagnostic framework based on Hypersoft Fuzzy Rough Set (HSFRS) theory.This hybrid approach integrates the flexibility of hypersoft sets for modeling multi-parameter relationships, the strength of fuzzy logic in handling vagueness, and the approximation capabilities of rough set theory to manage data uncertainty. Using a pseudo fuzzy binary relation, we define lower and upper approximation operators for fuzzy subsets within the parameter space. …”

Model comparison used. by Md. Fahim Ul Islam (22470251)

“…In this paper, we propose an Interpretable Network Bandwidth Slicing Identification (INBSI) system that leverages a modified Convolutional Neural Network (CNN) architecture with Nesterov-accelerated Adaptive Moment Estimation (NADAM) optimization. Additionally, we use a Variational Autoencoder (VAE) for preprocessing initial data, along with reconstructed data for data validity assessment. …”

Knowledge Graph validation using SHACL Shapes by Ángel Iglesias Préstamo (19745767)

Algorithm of model development and validation. by Bethan Cracknell Daniels (20469396)

Signal detection algorithms and their corresponding criteria. by Gang Ye (318792)

Assignment of Hungarian Algorithm. by Yibin Zhang (1426579)

“…The developed index that integrates the distance between the LiDAR serves as a more accurate way of defining the spatial location of vehicles. The proposed methodology was evaluated using data collected by a 32-channel portable LiDAR at three signalized intersections. …”

Effects of different algorithms on feature extraction of jamming signals. by Hui Zhao (7395)

Subjects:

MAPR of GPT compared with optimal algorithm. by Ali Abir Shuvro (21982871)

“…An effective solution is leveraging the generative power of LLMs for such tasks where there is no necessity for prior algorithmic and programming knowledge. A zero-shot analysis of these models is necessary to define the feasibility of using them in such tasks. …”

Errors from the LLM and simulated algorithms. by Ali Abir Shuvro (21982871)

“…An effective solution is leveraging the generative power of LLMs for such tasks where there is no necessity for prior algorithmic and programming knowledge. A zero-shot analysis of these models is necessary to define the feasibility of using them in such tasks. …”