Investigating the effect of localized heat treatment and bioinspired structure on the crashworthiness of bumper subsystem by Israel Endale Asres, Ermias Gebrekidan Koricho, Ephrem Zeleke Kassa

“…New Car Assessment Program (NCAP) standard compliant numerical simulations were used to evaluate the performance of all the alternative models. For the selection of the best performing alternative model, complex proportional assessment method (COPRAS) is used. …”
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Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification by Heba G. Mohamed, Fadwa Alrowais, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

“…The presented MCOBC-HDDC method provides an efficient and accurate disease diagnosis, utilizing a system that depends on DL techniques. …”
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Design and analysis of a single source seven level common ground SC based multilevel inverter topology with high reliability by Md Tahmid Hussain, Adil Sarwar, Md Reyaz Hussan, Mohd Tariq, Shafiq Ahmad, Farhad Ilahi Bakhsh, Mohammad Zaid, Adamali Shah Noor Mohamed, Baseem Khan

“…Existing multilevel inverter (MLI) topologies often suffer from high voltage stress, increased THD, and complex control requirements. This study aims to design a compact inverter with improved performance metrics, including efficiency, total harmonic distortion (THD), and voltage stress. …”
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Applications of machine learning and deep learning in agriculture: A comprehensive review by Muhammad Waqas, Adila Naseem, Usa Wannasingha Humphries, Phyo Thandar Hlaing, Porntip Dechpichai, Angkool Wangwongchai

“…The findings underscore that ML and DL facilitate the analysis of complex datasets, enabling data-driven decision-making, reducing reliance on subjective expertise, and improving farm management strategies. …”
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Molecular mechanisms underlying leaf enlargement in spaceflight-mutated ‘Deqin’alfalfa by Qian Kuang, Rui Ding, Die Huang, Chenggang He, Hua Jiang

“…Abstract Background As a tetraploid plant, alfalfa (Medicago sativa L.) exhibits complex genetic mechanisms that pose significant challenges for the integration and stabilization of superior traits. …”
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Clinical Performance of Bulk-Fill Versus Incremental Composite Restorations in Primary Teeth: A Systematic Review of In Vivo Evidence by Maria Sarapultseva, Desheng Hu, Alexey Sarapultsev

“…Two reviewers independently performed study selection, data extraction, and risk-of-bias assessments using the Cochrane RoB 2.0 tool. …”
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Predicting pile bearing capacity using gene expression programming with SHapley Additive exPlanation interpretation by Adil Khan, Majid Khan, Waseem Akhtar Khan, Muhammad Ali Afridi, Khawaja Atif Naseem, Ayesha Noreen

“…GEP is a computational technique that mimics biological gene expression processes to evolve computer programs or models capable of solving complex problems through the iterative generation, selection, and recombination of code segments. …”
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A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition by Hanif Heidari, M. Murugappan, Javeed Shaikh-Mohammed, Muhammad E. H. Chowdhury

“…Most improved RF versions modify attribute selection processes or combine them with other machine learning algorithms, increasing their complexity. …”
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Machine Learning-Based Morphological Classification and Diversity Analysis of Ornamental Pumpkin Seeds by Sıtkı Ermiş, Uğur Ercan, Aylin Kabaş, Önder Kabaş, Georgiana Moiceanu

“…<i>ovifera</i>) seeds are highly morphologically variable, and their classification is hence a complex task for the seed industry. Efficient and accurate classification is critical for agricultural production, breeding programs, and seed sorting for commerce. …”
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Characterization of “sweet spots” and optimization of volume fracturing parameters in deep tight reservoirs of Subei Basin by TANG Jiandong, ZHANG Shunkang, LIN Shiwei, GE Zhengjun, LIN Bo

“…A multi-parameter comprehensive characterization and evaluation methodology was established for tight sandstone reservoirs, accurate delineation of tight reservoirs and effectively guiding reservoir classification and “sweet spot” selection. For volume fracturing, engineering techniques were implemented such as increasing fracture-controlled volume, using temporary plugging and diversion to enhance fracture complexity, and employing combined proppant injection to increase fracture filling volume. …”
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Performance Comparison of Multi-Objective Optimizers for Dynamic Balancing of Six-Bar Watt Linkages Using a Fully Cartesian Model by María T. Orvañanos-Guerrero, Claudia N. Sánchez, Luis Eduardo Robles-Jiménez, Sara Carolina Gómez-Delgado

“…A wide set of optimization methods is analyzed and compared, and among them, the S-Metric Selection Evolutionary Multi-objective Optimization Algorithm (SMS-EMOA) demonstrates superior performance. …”
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Primate lentiviruses use at least three alternative strategies to suppress NF-κB-mediated immune activation. by Dominik Hotter, Teresa Krabbe, Elisabeth Reith, Ali Gawanbacht, Nadia Rahm, Ahidjo Ayouba, Benoît Van Driessche, Carine Van Lint, Martine Peeters, Frank Kirchhoff, Daniel Sauter

“…While both Vprs target the IKK complex or a factor further downstream in the NF-κB signaling cascade, only SIVolc Vpr stabilizes IκBα and inhibits p65 phosphorylation. …”
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Traffic State Estimation With Spatio-Temporal Autoencoding Transformer (STAT Model) by Ali Reza Sattarzadeh, Pubudu N. Pathirana, van Thanh Huynh

“…Comprehensive evaluations across various traffic prediction datasets have established the validity of the proposed approach. Also, for an efficient model selection, Akaike Information Criterion (AIC), Schwarz Bayesian Information Criterion (SBIC), Hannan-Quinn Information Criterion (HQIC), and corrected AIC (AICc) tools were used to evaluate and compare models based on their ability to balance fit and complexity. …”
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Automated lumbar intervertebral disc identification and herniation detection in MR images using cascade CNN architecture by Md Abu Sayed, Ashiqur Rahman, Sadman Mohammad Nasif, Sudipto Halder, Akram Hossain, Hasan Ahmed, Muhammad Abdul Kadir

“…Objective: Identifying herniated discs in MRI scans is inherently challenging due to the small size, irregular shape, and complex appearance of the affected regions. Conventional approaches typically rely on semi-automated region-of-interest (ROI) selection and single-model classification using either axial or sagittal views, limiting diagnostic performance. …”
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Data-driven predictive model of coal permeability based on microscopic fracture structure characterization by Tianhao Yan, Xiaomeng Xu, Jiafeng Liu, Yihuai Zhang, Muhammad Arif, Xiaowei Xu, Qiang Wang

“…Owing to the inherent heterogeneity and complex internal structure of coal, a well-established method for predicting permeability based on microscopic fracture structures remains elusive. …”
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Performance-Oriented and Sustainability-Oriented Design of an Effective Android Malware Detector by Sana Qadir, Amna Naeem, Mehdi Hussain, Huma Ghafoor, Aisha Hassan Abdalla Hashim

“…Secondly, to enhance efficiency, we explore the use of a GPU-based setup and different feature selection techniques. …”
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Neural network quantification for solar radiation prediction: An approach for low power devices by Brenda Alejandra Villamizar-Medina, Angelo Joseph Soto Vergel, Byron Medina-Delgado, Darwin Orlando Cardozo-Sarmiento, Dinael Guevara-Ibarra, Oriana Alexandra Lopez-Bustamante

“…Quantization enables complex predictive models to run on low-cost, energy-efficient devices, thereby democratizing advanced prediction technologies for critical applications like solar energy generation. …”
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Technical research and application prospects of lignocellulose biotransformation by PAN Runze, MOU Lu, QIU Min, JIANG Wankui, ZHANG Wenming, JIANG Yujia*, XIN Fengxue*, JIANG Min

“…Lignocellulose, as an abundant renewable biomass resource, holds immense potential for the production of biofuels and biochemicals. However, its complex structure presents challenges to achieving optimal efficiency in lignocellulose biotransformation. …”
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Machine Learning Techniques for Enhanced Intrusion Detection in IoT Security by Hanadi Hakami, Muhammad Faheem, Majid Bashir Ahmad

“…The approach optimizes data preprocessing by integrating SMOTE for effective data balancing and Pearson&#x2019;s Correlation Coefficient (PCC) for feature selection. We compared several ML and DL techniques to detect and address the most efficient one for our pipeline. …”
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Deep learning based model predictive control of active filter inverter as interface for photovoltaic generation by Amin Rasoulian, Hadi Saghafi, Mohammadali Abbasian, Majid Delshad

“…While 1D‐CNN benefits from the inherent strong feature extraction/selection capability and lower computational complexity than other deep methods, it still cannot properly track the dynamic changes due to fixed weights during the training process. …”
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