Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”

Four major algorithms used for signal detection. by Ruibo Li (2063167)

“…<div><p>Background</p><p>Due to the limitations of clinical trials, some delayed and rare adverse events (AEs) may remain undetected, and safety information can be supplemented through post-market data analysis. This study aims to comprehensively analyze the AEs associated with Relugolix (Orgovyx^®) using data from the FAERS database, and gain a better understanding of the potential risks and side effects of Relugolix (Orgovyx^®) therapy.…”

Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging by D. Andrew Brown (6584837)

Comparison of model mean accuracy for the effectiveness of the VRA—fluorescence subtraction algorithm over 450 iterations. by Tri Ngo Quang (20390189)

Data_Sheet_1_Early detection of sepsis using machine learning algorithms: a systematic review and network meta-analysis.pdf by Mikhail Ya Yadgarov (18543769)

Application of ABC SMC to the fitting of the binary flip with cusp model. by Elena Camacho-Aguilar (10906327)

Data_Sheet_1_A prospective multicenter clinical research study validating the effectiveness and safety of a chest X-ray-based pulmonary tuberculosis screening software JF CXR-1 bui... by Yang Yang (45629)

MLP vs classification algorithms. by Mohd Mustaqeem (19106494)

“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”

Bayesian sequential design for sensitivity experiments with hybrid responses by Yuxia Liu (1779592)

“…To deal with the problem of complex computation involved in searching for optimal designs, fast algorithms are presented using two strategies to approximate the optimal criterion, denoted as SI-optimal design and Bayesian D-optimal design, respectively. …”

Load data or power demand. by M. Nasrallah (19066121)

Data concatenation. by Zhen Wang (72451)

“…The algorithm’s effectiveness is verified by the pool experiment echo data, which shows that the filter can improve the detection of echo signals by about 10 dB. …”

Data_Sheet_2_Application of machine learning algorithms to identify people with low bone density.docx by Rongxuan Xu (18445503)

Data_Sheet_1_Application of machine learning algorithms to identify people with low bone density.docx by Rongxuan Xu (18445503)

Experimental data comparison table. by Zhen Wang (72451)

“…The algorithm’s effectiveness is verified by the pool experiment echo data, which shows that the filter can improve the detection of echo signals by about 10 dB. …”

Data_Sheet_1_Validation of a deep neural network-based algorithm supporting clinical management of adnexal mass.docx by Gerard P. Reilly (14490704)

Data_Sheet_1_Automatic speech analysis for detecting cognitive decline of older adults.pdf by Lihe Huang (19350508)

Network Intrusion Detection Datasets by Ogobuchi Daniel Okey (15854591)

“…The primary focus of this project is to develop an effective Intrusion Detection System (IDS) using the aforementioned algorithm. …”

Data_Sheet_1_Rating and ranking preparedness characteristics important for veterinary workplace clinical training: a novel application of pairwise comparisons and the Elo algorithm... by Jennifer Routh (12362761)

Data_Sheet_2_Rating and ranking preparedness characteristics important for veterinary workplace clinical training: a novel application of pairwise comparisons and the Elo algorithm... by Jennifer Routh (12362761)

Probability graphical model of scMSI. by Yuqian Liu (1413763)