Improved modelling of breast cancer cells using machine learning heuristic algorithms by Maria Sajjad (19737807)

“…<p>Computational and machine learning frameworks have greatly contributed to early diagnosis and rapid therapeutic interventions due to breakthroughs in science and technology. …”

Operating algorithm of the Wi-Fi module. by Abdallah Elshawadfy Elwakeel (19852263)

The operating algorithm for the optical scanning system and automatic cutting system used in the ASSCM. by Abdallah Elshawadfy Elwakeel (19852263)

YOLOv5 algorithm structure. by Cong Xiao (4282558)

“…In light of this, our study investigates a method for monitoring pipe drips in industrial equipment using machine vision technology. We propose a machine vision model specifically designed for pipe drip detection, aiming to facilitate monitoring of pipe system drips. …”

Operating algorithm of the sugarcane seed monitoring system. by Abdallah Elshawadfy Elwakeel (19852263)

Algorithm parameter settings. by Panfei Li (22379086)

“…This paper introduces the Circular Assembly Line Balancing Problem with Task-Splitting (CALBP-TS), a novel NP-hard optimization challenge characterized by closed-loop topology, station revisitation, fixed-position machines, and collaborative task execution. To address its high-dimensional complexity, we propose an Enhanced Benders Decomposition (EBD) framework that decomposes CALBP-TS into a workload-balancing master problem (MP) addressing worker-process assignment and task-splitting using a rigorous linearization theorem and a feasibility-checking subproblem (SP) handling spatio-temporal constraints via dummy process encoding. …”

Integrated algorithmic framework. by Panfei Li (22379086)

“…This paper introduces the Circular Assembly Line Balancing Problem with Task-Splitting (CALBP-TS), a novel NP-hard optimization challenge characterized by closed-loop topology, station revisitation, fixed-position machines, and collaborative task execution. To address its high-dimensional complexity, we propose an Enhanced Benders Decomposition (EBD) framework that decomposes CALBP-TS into a workload-balancing master problem (MP) addressing worker-process assignment and task-splitting using a rigorous linearization theorem and a feasibility-checking subproblem (SP) handling spatio-temporal constraints via dummy process encoding. …”

Data from the article titled Machine Learning Algorithms to Predict Digital Competencies in University Faculty by Jenniffer Sobeida Moreira Choez (16933539)

“…<p dir="ltr">The data analyzed are part of the study entitled <i>Machine Learning Algorithms to Predict Digital Competencies in University Faculty</i>, which aimed to develop predictive models based on machine learning algorithms to estimate the level of digital competencies among university faculty. …”

Run times of two algorithms. by Gourab Saha (8987405)

“…Multiple soil-parameter measuring sensors are used to identify suitable crop and fertilizer requirements for that land using IoT and machine learning. …”

The pseudo code of HIP algorithm. by Panfei Li (22379086)

“…This paper introduces the Circular Assembly Line Balancing Problem with Task-Splitting (CALBP-TS), a novel NP-hard optimization challenge characterized by closed-loop topology, station revisitation, fixed-position machines, and collaborative task execution. To address its high-dimensional complexity, we propose an Enhanced Benders Decomposition (EBD) framework that decomposes CALBP-TS into a workload-balancing master problem (MP) addressing worker-process assignment and task-splitting using a rigorous linearization theorem and a feasibility-checking subproblem (SP) handling spatio-temporal constraints via dummy process encoding. …”

Proposed genetic algorithm for feature selection. by Shirin Dehghan (19837936)

“…This study aimed to develop a model for predicting IVF outcome by comparing five machine-learning techniques.</p><p>Method</p><p>The research approached five prominent machine learning algorithms, including Random Forest, Artificial Neural Network (ANN), Support Vector Machine (SVM), Recursive Partitioning and Regression Trees (RPART), and AdaBoost, in the context of IVF success prediction. …”

Top-performing model configuration and performance by algorithm type. by Uğur Ejder (22683228)

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Comparative Analysis of Machine Learning Approaches for Drum Set Component Classification in Music Technology by Ulaş Yurtsever (22580268)

The pseudo code of local branching algorithm. by Panfei Li (22379086)

“…This paper introduces the Circular Assembly Line Balancing Problem with Task-Splitting (CALBP-TS), a novel NP-hard optimization challenge characterized by closed-loop topology, station revisitation, fixed-position machines, and collaborative task execution. To address its high-dimensional complexity, we propose an Enhanced Benders Decomposition (EBD) framework that decomposes CALBP-TS into a workload-balancing master problem (MP) addressing worker-process assignment and task-splitting using a rigorous linearization theorem and a feasibility-checking subproblem (SP) handling spatio-temporal constraints via dummy process encoding. …”

Table 1_Landslide susceptibility assessment of upper Yellow River using coupling statistical approaches, machine learning algorithms and SBAS-InSAR technique.docx by Jin Zeng (196246)

Sensor value scenario for fuzzy logic algorithm. by Gourab Saha (8987405)

“…Multiple soil-parameter measuring sensors are used to identify suitable crop and fertilizer requirements for that land using IoT and machine learning. …”

The flowchart of QLDE algorithm. by Guanqun Wang (705958)

“…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with <i>K</i>-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …”

Implementing artificial intelligence and machine learning algorithms for optimized crop management: a systematic review on data-driven approach to enhancing resource use and agricu... by Okechukwu Paul-Chima Ugwu (21578037)

Predictive_158_Data-18_input-1 and 5_output.csv by Esin Caglayan (21186749)

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Datasets for Development of Machine Learning Models in Blue Hydrogen Production Process by William George Davies (21661315)

Subjects: