Optimization of bioactive compounds and sensory quality in thermosonicated black carrot juice: A study using response surface methodology, gradient boosting, and fuzzy logic by Seydi Yıkmış, Melikenur Türkol, Ishak Pacal, Aylin Duman Altan, Nazlı Tokatlı, Gholamreza Abdi, Nazan Tokatlı Demirok, Rana Muhammad Aadil

“…RSM demonstrated higher prediction accuracy compared to GB, identifying optimal processing conditions at 48.68 °C, 11.15 minutes, and 82.62% amplitude. …”
Get full text

Skin Cancer Cell Detection using Image Processing by Taskin Sabit, Faiza Tasnim, Sadia Afrin Sara, Sharia Tasnim Adrita, Maisha Tarannum

Get full text

Detecting Important Features and Predicting Yield from Defects Detected by SEM in Semiconductor Production by Umberto Amato, Anestis Antoniadis, Italia De Feis, Anastasiia Doinychko, Irène Gijbels, Antonino La Magna, Daniele Pagano, Francesco Piccinini, Easter Selvan Suviseshamuthu, Carlo Severgnini, Andres Torres, Patrizia Vasquez

“…A key step to optimize the tests of semiconductors during the production process is to improve the prediction of the final yield from the defects detected on the wafers during the production process. …”
Get full text

Analysis of multiple faults in induction motor using machine learning techniques by Puja Pohakar, Ravi Gandhi, Surender Hans, Gulshan Sharma, Pitshou N. Bokoro

“…Traditional diagnostic methods are expert judgment-based and pre-threshold-based and, therefore, less efficient when dealing with vast industrial processes. Based on key operating parameters like voltage, current, and speed, this article describes how machine learning (ML) algorithms like Random Forest (RF), K-Nearest Neighbors (KNN), Gradient Boosting Machine (GBM), Support Vector Machines (SVM), and Extreme Gradient Boosting with Feature Interaction (XGBoost + FIS) are used to detect different motor faults. …”
Get full text

Predicting Startup Success Using Machine Learning Approach by Icha Wahyu Kusuma Ningrum, Farid Ridho, Arie Wahyu Wijayanto

“…The company's founders mark success here by receiving a sum of money through the Initial Public Offering (IPO) or Merger and Acquisition (M&A) process. If the startup closes, we will consider it a failure. …”
Get full text

High-resolution global modeling of wheat’s water footprint using a machine learning ensemble approach by Murat Emeç, Abdullah Muratoğlu, Muhammed Sungur Demir

“…Machine learning (ML) methods offer advantages through their ability to process complex data relationships efficiently while maintaining high prediction accuracy. …”
Get full text

Early identification of dropouts during the special forces selection program by Ruud J. R. den Hartigh, Rik Huijzer, Frank J. Blaauw, Age de Wit, Peter de Jonge

Get full text

Exploring a multi-path U-net with probability distribution attention and cascade dilated convolution for precise retinal vessel segmentation in fundus images by Ruihong Zhang, Guosong Jiang

“…Finally, the output from the dual-path U-Net is processed through a feature refinement module. This step further refines the vessel segmentation by integrating and extracting relevant features. …”
Get full text

Predicting land suitability for wheat and barley crops using machine learning techniques by Bikila Abebe Ganati, Tilahun Melak Sitote

“…Then, random forest (RF), gradient boosting (GB), and K-nearest neighbour (KNN) were used to predict the land suitability of the two selected crops. …”
Get full text

An ensemble strategy for piRNA identification through hybrid moment-based feature modeling by Mansoor Ahmed Rasheed, Tamim Alkhalifah, Fahad Alturise, Yaser Daanial Khan

“…Classifiers such as Random Forest (RF), Extra Trees (ET), and Decision Tree were utilized in the Bagging approach. The Boosting approach involved the use of XGBoost (XGB), AdaBoost, and Gradient Boost. …”
Get full text

Dual-Engineering Tailored Co₃O₄ Hollow Microspheres Assembled by Nanosheets for Boosting Oxygen Evolution Reaction by Yinghan Cui, Shiduo Yang, Jianqiang Zhu, Zaidong Wang, Sen Chen, Jian Qi, Huan Wang

Get full text

Nanosized κ-Carbide and B2 Boosting Strength Without Sacrificing Ductility in a Low-Density Fe-32Mn-11Al Steel by Changwei He, Yongfeng Shen, Wenying Xue, Zhijian Fan, Yiran Zhou

Get full text

Hybrid-driven modeling using a BiLSTM–AdaBoost algorithm for diameter prediction in the constant diameter stage of Czochralski silicon single crystals by Yu-Yu Liu, Ding Liu, Shi-Hai Wu, Yi-Ming Jing

“…In this paper, a hybrid-driven modeling method integrating Bidirectional Long Short-Term Memory network (BiLSTM) and Adaptive Boosting (AdaBoost) algorithm is proposed, aiming to improve the accuracy and stability of crystal diameter prediction in the medium diameter stage of the SSC growth by the Czochralski (CZ) method. …”
Get full text

A Low-Noise Current-Squared Delta-Sigma-Modulation Boost Converter Suitable for Low-Voltage Wireless Sensor Networks With Transient-Accelerated Techniques by Jiann-Jong Chen, Yuh-Shyan Hwang, Hung-Wei Chiu, Yu-Zhe Gao, Joshua Ku

“…Experimental results indicate that the boost converter is fabricated using the TSMC T18HVG2 1P6M CMOS process with a chip area of 1.26 mm <inline-formula> <tex-math notation="LaTeX">$\times 1.18$ </tex-math></inline-formula> mm. …”
Get full text

Enhanced photocatalysis of natural rubber foams filters boosted by modified-titanium oxide hybrid fillers: Gaseous benzene removal, antibacterial properties and air permeability by Pornsiri Toh-ae, Prachid Saramolee, Siriluk Chiarakorn, Dujduan Waraho-Zhmayev, Attapol Kamthong, Raymond Lee Nip, Ekwipoo Kalkornsurapranee, Jobish Johns, Patcharapit Promoppatum, Yeampon Nakaramontri

Get full text

Enhancing Black Soil Fertility and Microbial Community Structure via Microbial Agents to Reduce Chemical Fertilizer Dependency: A Strategy to Boost Maize Yield by Fenglin Zhang, Nan Wang, Chenyu Zhao, Luze Yang, Xingmin Zhao, Hongjun Gao, Fugui Zhang, Hongbin Wang, Ning Huang

Get full text

Hybrid Machine Learning for CNC Process Monitoring by Robin Strobel, Samuel Deucker, Hanlin Zhou, Hafez Kader, Alexander Puchta, Benjamin Noack, Jurgen Fleischer

“…The transition to highly customized, one-off production in modern manufacturing necessitates sophisticated process monitoring to reduce waste, minimize downtime, and alleviate operator burden. …”
Get full text

M/BiOCl‐(M = Pt, Pd, and Au) Boosted Selective Photocatalytic CO2 Reduction to C2 Hydrocarbons via *CHO Intermediate Manipulation by Qiong Liu, Chengbo Bai, Chengxin Zhu, Wenjin Guo, Guangfang Li, Sheng Guo, Devesh Kripalani, Kun Zhou, Rong Chen

Get full text

Business process pattern for improving social sustainability by Thorsten Schoormann, Marco Di Maria

“… Business process management (BPM) has the ability to boost transformations towards sustainable entities by innovating organizational structures. …”
Get full text

The role of innovation in the internationalisation process of Slovakian businesses by Jakub Garncarz, Adam Michalik

“…Moreover, further analysis highlighted that firms implementing process innovations achieved markedly higher export sales, while those combining both process and product/service innovations experienced a synergistic boost in export performance. …”
Get full text