Design Guidelines for Material Extrusion of Metals (MEX/M) by Karim Asami, Mehar Prakash Reddy Medapati, Titus Rakow, Tim Röver, Claus Emmelmann

“…Geometric accuracy was quantitatively assessed through a 3D scan by comparing the manufactured parts to their original CAD models, allowing the identification of deformation patterns and shrinkage rates. …”
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Self-Diagnostic Advanced Metering Infrastructure Based on Power-Line Communication: A Study Case in Spanish Low-Voltage Distribution Networks by Matías Ariel Kippke Salomón, José Manuel Carou Álvarez, Lucía Suárez Ramón, Pablo Arboleya

“…The transformation of low-voltage distribution grids toward decentralized, user-centric models has increased the need for advanced metering infrastructures capable of ensuring both visibility and control. …”
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CRISPR/Cas9-Based therapeutics as a promising strategy for management of Alzheimer’s disease: progress and prospects by Mohamad Sultan Khan, Nousheen Qureshi, Rehan Khan, Young-Ok Son, Tariq Maqbool

“…Further, we emphasize the role of CRISPR/Cas9 in generating accurate AD models for identification of novel therapeutic targets, besides the role of CRISPR-based therapies aimed at correcting AD-associated mutations and modulating the neurodegenerative processes. …”
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A Hybrid VGG16‐ViT Approach With Image Processing Techniques for Improved White Blood Cell Classification and Disease Diagnosis: A Retrospective Study by Md Shahin Ali, Md. Maruf Hossain, Md. Mahfuz Ahmed, Kazi Rubaya Nowrin, S. M. Mahim, Shakib Al Hasan, Moutushi Akter Kona, Md Shafiqul Islam, Kazi Mowdud Ahmed, Md Mahbubur Rahman, Md Khairul Islam

“…This study aims to enhance WBC detection and classification using a hybrid VGG16‐Vision Transformer (VGG16‐ViT) model. Methods To enhance the efficiency of the classification process, preprocessing techniques such as data normalization, categorical variable encoding, feature extraction, and data augmentation were employed in conjunction with the proposed model before the training phase. …”
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Recognition of building group patterns using GCN and knowledge graph by Tao Liu, Ziqiang Zhang, Ping Du, Wenning Wang, Haowen Yan, Bo Qiang, Shenglu Xu

“…Effective identification of building patterns can improve the quality of automated map generalization. …”
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Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study by Zhaonan Sun, Pengsheng Wu, Tongtong Zhao, Ge Gao, Huihui Wang, Xiaodong Zhang, Xiaoying Wang

“…We utilized a 3D V-Net model to improve the efficiency and accuracy of LN detection and segmentation. …”
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The potential of digital health interventions to address health system challenges in Southeast Asia: A scoping review by Vanita Singh, Rosemol Johnson K, Anil G. Jacob, Oommen John

“…The objective of this study is to map the Digital Health Intervention (DHI) functionalities across the nine axes of the healthcare system challenges (HSCs) model; we use WHO's DHIs classification framework and the Health System Challenges model. …”
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Spatio-Temporal Characteristics and Driving Forces of Landscape Ecological Risks in Highly Urbanized Areas: A Case Study of Suzhou City by Lingyue LU, Dawei SHAO, Dianming WU

“…A large amount of research has concentrated on risk evolution, the identification of influencing factors or drivers, and the simulation and prediction of risks in natural areas such as watersheds, coastal zones, wetlands, and ecological reserves. …”
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Design of Robust Decentralized Control Systems for Distillation Columns by Stopakevych A.O., Stopakevych O.A.

“…The aim is attained by solving the following tasks: selection of representative models of columns; development of an effective transfer function identification algorithm; development of a decentralized controller design algorithm, which takes into account the cross-links impact; verification of the developed method for the selected models of columns. …”
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Comparative Analysis of Machine Learning Based Approaches for Face Detection and Recognition by Ratnesh Kumar Shukla, Arvind Kumar Tiwari

“…This also solved a problem related to the face that occurs in the identification and recognition of the face. This paper presents the different methods and models used by numerous researchers in literature to solve the issue of faces. …”
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Minimising Security Deviations in Software-Defined Networks Using Deep Learning by mohammed alghaloom

“…A comprehensive data analysis was conducted, beginning with feature identification and dimensionality reduction using the Gain Information method to filter out redundant features, thereby improving model performance. …”
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Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering. by Guanqun Wang

“…The experimental results demonstrate that the proposed model exhibits a high degree of customer characteristic identification and segmentation, which not only enhances marketing efficiency and customer satisfaction but also fosters corporate profit growth through the strategic formulation of various marketing initiatives.…”
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Combined State-of-Charge Estimation Method for Lithium-Ion Batteries Using Long Short-Term Memory Network and Unscented Kalman Filter by Long Pu, Chun Wang

“…Additionally, inaccuracies in the identification of battery model parameters can lead to performance degradation or even the divergence of the algorithm in SOC estimation. …”
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Bio-Inspired Motion Emulation for Social Robots: A Real-Time Trajectory Generation and Control Approach by Marvin H. Cheng, Po-Lin Huang, Hao-Chuan Chu

“…This research presents a motion prediction model developed using convolutional neural networks (CNNs) to efficiently determine the type of motions at the initial state. …”
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Lightweight Domestic Pig Behavior Detection Based on YOLOv8 by Kaining Zhang, Yu Zhang, Hongli Xu

“…The prevalence and magnitude of extensive domestic pig breeding in China are rising, and behavioral assessment of these pigs is essential for enhancing production efficiency. The existing behavior identification technique for domestic pigs is computationally intensive, making it challenging to use on edge devices. …”
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IchthyNet: An Ensemble Method for the Classification of In Situ Marine Zooplankton Shadowgraph Images by Brittney Slocum, Bradley Penta

“…These three models were used in a Random Forest Classifier-based ensemble approach to reach the best identification fidelity. …”
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A Hybrid Machine Learning Approach: Analyzing Energy Potential and Designing Solar Fault Detection for an AIoT-Based Solar–Hydrogen System in a University Setting by Salaki Reynaldo Joshua, An Na Yeon, Sanguk Park, Kihyeon Kwon

“…The primary objective is to enhance the efficiency and reliability of the renewable energy system through predictive modeling and advanced fault detection techniques. …”
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Advancing food security: The role of machine learning in pathogen detection by Helen Onyeaka, Adenike Akinsemolu, Taghi Miri, Nnabueze Darlington Nnaji, Clinton Emeka, Phemelo Tamasiga, Gu Pang, Zainab Al-sharify

“…ML accelerates pathogen identification processes by leveraging AI-biosensing and deep learning models, significantly reducing detection times and potentially increasing accuracy rates, as indicated in several studies. …”
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A fully automated hybrid approach for processing high-frequency surface settlement data by Changyu Wang, Zude Ding, Annan Zhou, Zekun Zhu

“…The MFCCCNN classification model achieved an overall accuracy of 91.76 % on the validation dataset, effectively automating the identification of the valid data. …”
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Deep Learning-Based Automatic Summarization of Chinese Maritime Judgment Documents by Lin Zhang, Yanan Li, Hongyu Zhang

“…Second, for long-text processing, we design an extractive summarization model that integrates the RoBERTa-wwm-ext pre-trained model with dilated convolutional networks and residual mechanisms. …”
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