ProNDN: MCDM-Based Interest Forwarding and Cooperative Data Caching for Named Data Networking by Cong Pu

“…We conduct extensive simulation experiments for performance evaluation and comparison with prior schemes. …”
Get full text

A bird’s-eye view of the biological mechanism and machine learning prediction approaches for cell-penetrating peptides by Maduravani Ramasundaram, Honglae Sohn, Thirumurthy Madhavan

“…ML classifiers, such as support vector machine (SVM), random forest (RF), gradient-boosted decision trees (GBDT), and different types of artificial neural networks (ANN), are commonly used for CPP prediction with cross-validation performance evaluation. Functional CPP prediction is improved by using these ML strategies by using CPP datasets produced by high-throughput sequencing and computational methods. …”
Get full text

Specification-Based Testing of the Image-Recognition Performance of Automated Driving Systems by Kento Tanaka, Toshiaki Aoki, Takashi Tomita, Daisuke Kawakami, Nobuo Chida

“…Furthermore, our proposed approach can identify safety-critical defects that conventional tests, which focus solely on performance evaluation, might overlook. Furthermore, we propose two sets of test criteria. …”
Get full text

A Design of a Redundancy-Based Cascaded Bidirectional DC–DC Converter for Improved Reliability in Energy Storage Devices by Thales Augusto Fagundes, Guilherme Henrique Favaro Fuzato, Rafael Fernando Quirino Magossi, Ana Lais Rui Oliveira, Ricardo Quadros Machado

“…Therefore, small-signal analysis is applied to design the PI controllers, followed by a closed-loop performance evaluation using an infinity norm and stability analysis to assess the operation of the dc/dc converter in closed loop for different values of load and current references. …”
Get full text

Biocomposite’s Multiple Uses for a New Approach in the Diagnosis of Parkinson’s Disease Using a Machine Learning Algorithm by Abdallah Al-Husban, Mustafa Mahdi Abdulridha, A. A. Hamad Mohamad, Abdelrahman Mohamed Ibrahim

“…Classification algorithms and performance evaluation criteria employ DT, SVM, and kNN. The classification algorithm and data group with the highest performance value were chosen, and the model was created due to this selection. …”
Get full text

In-depth study of lightweight block ciphers: Performance assessment and implementation on sensor motes by Amal Hkiri, Mouna Karmani, Fawaz Hasan Alasmary, Omar Ben Bahri, Ahmed Mohammed Murayr, Mohsen Machhout

“…This study delves into the implementation and performance evaluation of lightweight block ciphers, including PRESENT, Piccolo, RECTANGLE, SPARX, and LED, on various sensor motes. …”
Get full text

Numerical investigation of segmental baffle design in shell and tube heat exchangers with varying inclination angles and spacing by A. M. Mohammadzadeh, Bahram Jafari, Khashayar Hosseinzadeh, E. Paikar

“…The study evaluates performance indicators such as overall heat transfer coefficient (OHT), shell side heat transfer coefficient (HTC), pressure drop (PD), and PEC (Performance Evaluation Criteria), this study evaluates their effect on Segmental STHE performance. …”
Get full text

Structural Optimization of the Aircraft NACA Inlet Based on BP Neural Networks and Genetic Algorithms by Zhimao Li, Changdong Chen, Houju Pei, Benben Kong

“…With the development of the increasing demand for cooling air in cabin and electronic components on aircraft, it urges to present an energy-efficient optimum method for the ram air inlet system. A ram air performance evaluation method is proposed, and the main structural parameters can be extended to a certain type of aircraft. …”
Get full text

A new dimensionality reduction technique based on the Wavelet Transform for cancer classification by Lisardo Fernández, Mariano Pérez, Juan M. Orduña, José M. Alcaraz

“…We have evaluated the proposed technique with a dataset collected from the most important cancer databases according to their social impact, and we have compared our proposal to five well-known dimensionality reduction techniques: PCA, ReliefF, Isomap, LLE and UMAP. Results The performance evaluation results show that the proposed technique significantly reduces both the computational resources and the execution time required for dimensionality reduction. …”
Get full text

Research progress of laser powder bed fusion of Ti2AlNb-based alloys: Microstructure, defects and properties by Jianfa Liao, Aoqi Fan, Haojie Luo, Yulei Du

“…Finally, we propose future development directions, including the design of new alloy compositions, crack control, optimization of heat treatment processes, and performance evaluation of practical engineering components.…”
Get full text

Aspect category sentiment analysis based on pre-trained BiLSTM and syntax-aware graph attention network by Guixian Xu, Zhe Chen, Zixin Zhang

“…Then, a syntax-aware graph attention network model is proposed to make full use of the syntactic structure and semantic information in the text, and combine the knowledge learned in pre-training to achieve the ACSA task. The performance evaluation of this method is carried out on five user comment text datasets, and the comprehensive ablation experiments prove that this method performs best compared with baseline models.…”
Get full text

Comparative Analysis of Public Transportation Comfort in Addis Ababa: Objective and Subjective Performance Metrics by Shambel Assefa Esheti, Yonas Minalu Emagnu, Birhanu Demissie Haylemariam, Robeam Solomon Melaku

“…To maintain competitiveness and attract more passengers, conducting continuous performance evaluations based on key performance indicators is commendable. …”
Get full text

Political technologies: structural and functional indifference by O. N. Zabuzov

“…We refered to components of the structure of political technologies: the goal setting, the conceptual component, the content component, the procedural component, the performance-evaluation component. A brief description of the components of the structure of political technologies has been given.The functions of political technologies from the point of view of their political indifference have been explored. …”
Get full text

Convolutional Neural Network and LSTM for Seat Belt Detection in Vehicles using YOLO3 by Erika Udayanti, Etika Kartikadarma, Fahri Firdausillah

“…Additionally, the performance evaluation of the CNN+LSTM algorithm will be measured using the accuracy value to measure the performance of the training process and testing process. …”
Get full text

ANALYZING THE FINANCIAL PERFORMANCE OF AUTOMOTIVE COMPANIES BEFORE AND AFTER INDUSTRY 4.0: AN APPLICATION IN THE BIST SUSTAINABILITY INDEX by Merve Kara, İsmail Fatih Ceyhan

“…Ten financial ratios were used as criteria in the performance evaluation. As a result, almost all companies increase their financial performance, but a decrease occurs only in one company's financial performance with the transition to Industry 4.0. …”
Get full text

(R)evolution of performance in the public order and safety system by Elena Casandra Ceausescu, Camelia Cazoni, Bogdan Petre, Alexandra Pircalaboiu, Marian Nastase

“…Case study was used as qualitative research in order to emphasize the particularities and evolution of performance evaluation in the public order and safety system. …”
Get full text

Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis – a systematic review by Filip Orzan, Ştefania D. Iancu, Laura Dioşan, Zoltán Bálint

“…The study emphasizes common models, including U-Net, Support Vector Machine, Random Forest, and K-Nearest Neighbors, alongside their evaluation metrics.ResultsThe analysis revealed a fragmented research landscape, with significant variation in model architectures and performance. Evaluation metrics such as Accuracy, Dice score, and Sensitivity are commonly employed, with some models demonstrating robustness across multi-center datasets. …”
Get full text

Diagnosis of COVID-19 from Chest X-Ray Images Using Wavelets-Based Depthwise Convolution Network by Krishna Kant Singh, Akansha Singh

“…The metrics like accuracy, sensitivity, and F1-measure are calculated for performance evaluation. The performance of the proposed method is better than the existing methodologies and thus can be used for the effective diagnosis of the disease.…”
Get full text

Assessment of Artificial Intelligence Models for Developing Single-Value and Loop Rating Curves by Majid Niazkar, Mohammad Zakwan

“…The comparison was conducted on the basis of several widely used performance evaluation criteria. It was observed that no model outperformed others for all datasets and metrics considered, which demonstrates that the best method may be different from one case to another one. …”
Get full text

Applicability of a Single Depth Sensor in Real-Time 3D Clothes Simulation: Augmented Reality Virtual Dressing Room Using Kinect Sensor by Sasadara B. Adikari, Naleen C. Ganegoda, Ravinda G. N. Meegama, Indika L. Wanniarachchi

“…The developed application successfully augmented the selected dress model with physics motions according to the physical movements made by the user, which provides a realistic fitting experience. The performance evaluation reveals that a single depth sensor can be applied in the real-time simulation of 3D cloth with less than 10% of the average measurement error.…”
Get full text