The Application of the CIPP Evaluation Model in Educational Programs in Indonesia by M. Zainuddin Alanshori, Ahmad Maulidi, Salman Zahidi, Kusaeri Kusaeri, Suparto Suparto

“…These strategies aim to enhance the relevance, efficiency, and impact of the CIPP model in education evaluation practices. …”
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SMART HYBRID MODELS FOR IMPROVED BREAST CANCER DETECTION by Nageswara Rao Gali, Panduranga Vital Terlapu, Yasaswini Mandavakuriti, Sai Manoj Somu, Madhavi Varanasi, Vijay Telugu, Maheswara Rao V V R

“…We employ a combination of deep learning (DL) and machine learning (ML) algorithms for BC identification. Our approach is a hybrid Convolutional Neural Network (CNN) model, which performs better than other experimental and existing models. …”
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Autonomous Vehicle Security: Hybrid Threat Modeling Approach by Amal Yousseef, Yu-Zheng Lin, Shalaka Satam, Banafsheh Saber Latibari, Jesus Pacheco, Soheil Salehi, Salim Hariri, Pratik Satam

“…This model transforms qualitative threat identification into quantitative risk prioritization by mapping CVSS metrics to DREAD dimensions through normalization. …”
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A TRIZ-based algorithm for business model innovation in manufacturing SMEs: a systematic framework for strategic innovation integrated with the business model canvas by Juan G. Mejia-Duque, Andres Guerrero-Alvarado

“…A single-case study in a Colombian manufacturing SME demonstrated measurable improvements in resource allocation, cost efficiency, quality, customer engagement, and market opportunity identification, strengthening competitiveness and value creation. …”
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Development of conventional PCR and a Real-Time PCR assay to choose the most suitable method for residual DNA identification of Beluga, Huso huso, in concrete fish ponds by Esmaeil Noghanchi Sabet, Shirin Jamshidi, Ali Bani

“…A unique research was developed to achieve an effective and efficient method for tracing and identifying Beluga sturgeon species, Huso huso using eDNA in concrete fish ponds. …”
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Metering Automation System 3.0 Base Version Based on Machine Learning by Sheng Li, Leping Zhang, Hang Dai, Lukun Zeng, Yuan Ai, Shuang Qi, Yuanzhai Cui

“…The accurate identification of equipment base versions in Metering Automation System 3.0 (MAS 3.0) is critical for ensuring interoperability and maintenance efficiency in modern smart grids. …”
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A New Perspective on Gas Chromatography-Mass Spectrometry Urinary Metabolomic Analysis and Efficient Risk Assessment of Urolithiasis: Morning Urine Organic Acid Profiles by Jiangtao Yang, Dongfang Zhang, Yan Lu, Haixing Mai, Song Wu, Qin Yang, Hanxiong Zheng, Ruqin Yu, Hongmin Luo, Panpan Jiang, Liping Wu, Caili Zhong, Chenqing Zheng, Yanling Yang, Jiaxiang Cui, Qifang Lei, Zhaohui He

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A novel hybrid fuzzy logic and federated learning framework for enhancing cybersecurity and fraud detection in IoT-enabled metaverse transactions by Amjad Rehman, Kamran Ahmad Awan, Amal Al-Rasheed, Anees Ara, Fahad F. Alruwaili, Shaha Al-Otaibi, Tanzila Saba

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Coffee-Leaf Diseases and Pests Detection Based on YOLO Models by Jonatan Fragoso, Clécio Silva, Thuanne Paixão, Ana Beatriz Alvarez, Olacir Castro Júnior, Ruben Florez, Facundo Palomino-Quispe, Lucas Graciolli Savian, Paulo André Trazzi

“…In this scenario, deep learning techniques have shown promise for the early identification of these diseases, enabling more efficient monitoring. …”
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COMBINED METHOD OF RANKING OPTIONS IN PROJECT DECISION SUPPORT SYSTEMS by Vladimir Beskorovainyi

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Optimizing Monkeypox Lesions Detection With a Lightweight Hybrid Model by Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Abduljabbar S. Ba Mahel, Ahmed Aziz, Mashael M. Khayyat, Ammar Muthanna

“…The increasing global prevalence of monkeypox (mpox) has necessitated the development of accurate, efficient, and interpretable diagnostic models for timely disease identification. …”
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Model-Based Detection of Coordinated Attacks (DCA) in Distribution Systems by Nitasha Sahani, Chen-Ching Liu

“…The solution includes understanding the system model, learning the system dynamics, and correlating individual cyber-attacks to extract the attacker’s objective. …”
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An improved EAE-DETR model for defect detection of server motherboard by Jian Chi, Mingke Zhang, Puhon Zhang, Guowang Niu, Zhihao Zheng

“…Initially, we developed the CSP-EfficientVIM-CGLU module to enhance feature extraction capabilities while simultaneously reducing the model’s parameter count through the implementation of dynamic gated convolution and global context modeling. …”
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Malicious Traffic Detection on Tofino Using Graph Attention Model by Xichang Gao, Lizhuang Tan, Shengpeng Chen, Peiying Zhang, Jian Wang

“…This paper presents Maltof, a malicious traffic detection method based on P4 programmable switches, aimed at enhancing the accuracy and efficiency of real-time detection. First, Maltof leverages the P4 programming language to embed a rule-based random forest model into the Tofino data plane of the switch, enabling quick feature matching to efficiently filter out potential malicious traffic. …”
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Effective supply chain management as a way to improve production process productivity by Harrak Yosef, Butko Galina

“…The methodological basis of the research was theoretical analysis and empirical assessment using regression analysis based on the Supply Chain Operations Reference (SCOR) model and Sink and Tuttle performance measurement model. …”
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Identification of strengths and weaknesses of the healthcare system for persons living with rare diseases in Catalonia (Spain), and recommendations to improve its comprehensive att... by José Hernández-Rodríguez, Fernando Martínez-Valle, Xènia Acebes, Carmen Alerany, Jordi Antón, Gonzalo Calvo, Marian Corral, Jordi Cruz, M. Antònia Mangues-Bafalluy, José Mateo, Josefa Rivera, Albert Salazar, Roser Francisco, Cristina Mallol, Rita Reig-Viader, Ariadna Tigri-Santiña, Assumpta Ricart, Francesc Palau

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ECONOMIC-MATHEMATICAL MODEL OF FORMATION OF INNOVATION AND ENGINEERING INDUSTRIAL CLUSTER by Оlena Akhiiezer, Olha Dunaievska, Anton Rohovyi, Halyna Holotaistrova, Yurii Reshetniak, Serhii Mekhovych

“…The complex interaction of economic and political factors leads to a synergistic effect and allows modeling cluster formation with the identification of the composition of participants and the level of interaction between them. …”
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Methodology of Screening New Antibiotics: Present Status and Prospects by A. S. Trenin

“…The increase of the screening efficiency can be achieved by more rapid chemical identification of antibiotics and design of new screening models based on the biological activity detection.…”
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TBESO-BP: an improved regression model for predicting subclinical mastitis by Kexin Han, Yongqiang Dai, Huan Liu, Junjie Hu, Leilei Liu, Zhihui Wang, Liping Wei

“…In comparison to six alternative models, the TBESO-BP model demonstrates superior accuracy and lower error values.DiscussionThe TBESO-BP model emerges as a precise tool for predicting subclinical mastitis in dairy cows. …”
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Occurrence of micropollutants in surface water and removal by catalytic wet peroxide oxidation enhanced filtration using polymeric membranes loaded with carbon nanotubes by Adriano S. Silva, Paulo Zadra Filho, Ana Paula Ferreira, Fernanda F. Roman, Arthur P. Baldo, Madeleine Rauhauser, Jose L. Diaz de Tuesta, Ana I. Pereira, Adrián M.T. Silva, Juliana M.T. Pietrobelli, Marzhan S. Kalmakhanova, Daniel D. Snow, Helder T. Gomes

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