Single dynamic obstacle simulation environment. حسب Pengxiang Sun (8189247)

"…This paper proposes a dynamic path planning method based on the reciprocal velocity obstacles algorithm, enabling micro-UAVs to safely and efficiently accomplish flight tasks in complex environments. …"

Schematic diagram of VOSC for a single obstacle. حسب Pengxiang Sun (8189247)

"…This paper proposes a dynamic path planning method based on the reciprocal velocity obstacles algorithm, enabling micro-UAVs to safely and efficiently accomplish flight tasks in complex environments. …"

Schematic diagram of 3D velocity collision cone. حسب Pengxiang Sun (8189247)

"…This paper proposes a dynamic path planning method based on the reciprocal velocity obstacles algorithm, enabling micro-UAVs to safely and efficiently accomplish flight tasks in complex environments. …"

Initial environment for multi-dynamic obstacles. حسب Pengxiang Sun (8189247)

"…This paper proposes a dynamic path planning method based on the reciprocal velocity obstacles algorithm, enabling micro-UAVs to safely and efficiently accomplish flight tasks in complex environments. …"

Confusion matrix of CIC-IDS2017 dataset. حسب Mahbub E. Sobhani (22278967)

"…<div><p>Imbalanced intrusion classification is a complex and challenging task as there are few number of instances/intrusions generally considered as minority instances/intrusions in the imbalanced intrusion datasets. …"

Confusion matrix of NSL-KDD dataset. حسب Mahbub E. Sobhani (22278967)

"…<div><p>Imbalanced intrusion classification is a complex and challenging task as there are few number of instances/intrusions generally considered as minority instances/intrusions in the imbalanced intrusion datasets. …"

Confusion matrix of CSE-CIC-IDS2018 dataset. حسب Mahbub E. Sobhani (22278967)

"…<div><p>Imbalanced intrusion classification is a complex and challenging task as there are few number of instances/intrusions generally considered as minority instances/intrusions in the imbalanced intrusion datasets. …"

Confusion matrix of UNSW-NB15 dataset. حسب Mahbub E. Sobhani (22278967)

"…<div><p>Imbalanced intrusion classification is a complex and challenging task as there are few number of instances/intrusions generally considered as minority instances/intrusions in the imbalanced intrusion datasets. …"

Confusion matrix of CIC-DDoS2019 dataset. حسب Mahbub E. Sobhani (22278967)

"…<div><p>Imbalanced intrusion classification is a complex and challenging task as there are few number of instances/intrusions generally considered as minority instances/intrusions in the imbalanced intrusion datasets. …"

Proposed model training parameters. حسب M. Amudha (20390830)

"…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"

Input image and extracted features maps. حسب M. Amudha (20390830)

"…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"

Layer wise structure complexity reduction. حسب M. Amudha (20390830)

"…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"

Accuracy change vs. ELM layers pruning rate. حسب M. Amudha (20390830)

"…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"

Characteristic and limitations of existing work. حسب M. Amudha (20390830)

"…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"

Working procedure of ELM classifier network. حسب M. Amudha (20390830)

"…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"

Proposed CNN (EHO+HOBS-ELM) architecture. حسب M. Amudha (20390830)

"…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"

gcPCA v4 correctly identifies hippocampal replay in neurophysiological data without prior knowledge of replay content. حسب Eliezyer Fermino de Oliveira (20691761)

"…The automatic <i>α</i> selection algorithm from cPCA returns various <i>α</i> values depending on the number of cPCs requested (parameter <i>k</i>). …"

Example of CPE URI version 2.3. حسب Ke Zhang (115386)

"…Lastly, we propose a high-confidence text selection method and an improved self-training algorithm that incorporates a teacher-student model and weight update constraints, for exploring the true labels of low-confidence text using a model trained on high-confidence text, thereby reducing the noise in the distant annotation data. …"

Ablation experiment results (in %). حسب Ke Zhang (115386)

"…Lastly, we propose a high-confidence text selection method and an improved self-training algorithm that incorporates a teacher-student model and weight update constraints, for exploring the true labels of low-confidence text using a model trained on high-confidence text, thereby reducing the noise in the distant annotation data. …"

Distant label quality evaluation (in %). حسب Ke Zhang (115386)

"…Lastly, we propose a high-confidence text selection method and an improved self-training algorithm that incorporates a teacher-student model and weight update constraints, for exploring the true labels of low-confidence text using a model trained on high-confidence text, thereby reducing the noise in the distant annotation data. …"