A Hybrid Machine Learning Approach for Detecting and Assessing <i>Zyginidia pullula</i> Damage in Maize Leaves by Havva Esra Bakbak, Caner Balım, Aydogan Savran

“…Furthermore, integrating multiple feature representations significantly enhances the model’s ability to differentiate between varying levels of pest damage. …”
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ConvGRU: A Lightweight Intrusion Detection System for Vehicle Networks Based on Shallow CNN and GRU by Shaoqiang Wang, Jiahui Cheng, Yizhe Wang, Shutong Li, Lei Kang, Yinfei Dai

“…Experimental results demonstrate that this intrusion detection solution substantially improves malicious traffic detection accuracy while ensuring efficient operation in resource-constrained vehicular environments.…”
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Identification of Fake Comments in E-Commerce Based on Triplet Convolutional Twin Network and CatBoost Model by Juanjuan Peng

“…Finally, integrating the advantages of the CatBoost model and combining text and behavioral data aims to reduce over-fitting and enhance recognition accuracy. It provides an efficient and accurate identification tool for e-commerce platforms. …”
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Security Evaluation of Provably Secure ECC-Based Anonymous Authentication and Key Agreement Scheme for IoT by Kisung Park, Myeonghyun Kim, Youngho Park

“…To strengthen attack resilience, we propose several recommendations for the advancement of more robust and efficient AKA protocols specifically designed for IoT environments.…”
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Improving the root system of apple rootstocks based on Agrobacterium rhizogenes-mediated transformation system by Yushuang Guo, Zijun Wang, Cecilia H. Deng, Jianjun Dong, Shiqi Shu, Yi Wang, Zhenhai Han, Wei Li

“…These results have the potential to enhance the rooting ability of dwarfing rootstocks and contribute to the development of more efficient and productive orchard management strategies.…”
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Enhancing power distribution performance through simultaneous optimization of voltage regulators placement and conductor selection: A multi-period MILP approach by Luis A. Gallego Pareja, Jesús M. López-Lezama, Oscar Gómez Carmona

“…The principal advantage of using voltage regulators (VRs) and reconductoring is their ability to enhance voltage profiles and reduce technical losses. …”
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A lightweight MHDI-DETR model for detecting grape leaf diseases by Zilong Fu, Lifeng Yin, Can Cui, Yi Wang

“…This structure is designed to overcome the challenges of capturing complex high-level and subtle low-level features, and it uses Efficient Local Attention to focus more efficiently on regions of interest, thereby enhancing the model’s ability to detect complex targets while improving accuracy and inference speed. …”
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Practical deployment and validation of an IoT based semantic interoperability approach for industrial interoperability in smart manufacturing by Patricia Abril-Jimenez, Diego Carvajal-Flores, Leire Bastida, Ana Moya, María Fernanda Cabrera-Umpierrez

“…However, fragmentation of industrial protocols hampers efficient data exchange, delaying intelligent automation and digitalization. …”
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Bacteriophages as Targeted Therapeutic Vehicles: Challenges and Opportunities by Srividhya Venkataraman, Mehdi Shahgolzari, Afagh Yavari, Kathleen Hefferon

“…Bacteriophages, with their distinctive ability to selectively target host bacteria, stand out as a compelling tool in the realm of drug and gene delivery. …”
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Current progress in synthetic and medicinal chemistry of pyrazole hybrids as potent anticancer agents with SAR studies by Bhupender Nehra, Manoj Kumar, Viney Chawla, Pooja A. Chawla

“…Among various cancer treatment options, chemotherapy is currently one of the most efficient ways to remove cancer. Heterocycles play a pivotal role in development of efficient anticancer agents. …”
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KNEE OSTEOARTHRITIS STAGE CLASSIFICATION BASED ON HYBRID FUSION DEEP LEARNING FRAMEWORK by Delveen Luqman Abd Alnabi, Shereen Sh Ahmed, Nisreen Luqman Abd Alnabi

“…Five deep learning architectures were utilized as base models (EfficientNetB0, EfficientNetV2B0, XceptionNet, ResNetRS101, and RegNetY032), followed by average pooling and dense layers. …”
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LSEVGG: An attention mechanism and lightweight-improved VGG network for remote sensing landscape image classification by Yao Lu

“…These modifications significantly reduce model complexity while enhancing the network’s ability to focus on key landscape feature regions and capture distinctive terrain characteristics. …”
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Predictive PID Control for Automated Guided Vehicles Using Genetic Algorithm and Machine Learning by Kinza Nazir, Yong-Woon Kim, Yung-Cheol Byun

“…The integration of automated guided vehicles (AGVs) in industrial automation demands precise and adaptive control systems for efficient path tracking. This study introduces a hybrid framework combining traditional Proportional-Integral-Derivative (PID) control with advanced machine learning to optimize AGV performance. …”
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Correlating Local Morphology and Charge Dynamics via Kelvin Probe Force Microscopy to Explain Photoelectrode Performance by Maryam Pourmahdavi, Mauricio Schieda, Ragle Raudsepp, Steffen Fengler, Jiri Kollmann, Yvonne Pieper, Thomas Dittrich, Thomas Klassen, Francesca M. Toma

“…This finding supports the considerable role of microstructure in charge carrier dynamics, and the ability of our analytical method to resolve it. The analysis technique outlined here should find broad applicability, enabling in-depth insight into the effect of local microstructure, and contributing to the design and development of more efficient photoelectrodes by tailoring of the microstructure at the nanoscale.…”
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Deconstruction of Alkali Lignin and Lignocellulosic Substrates by <i>Aspergillus ochraceus</i> DY1 Isolated from Rotten Wood by Namdol Nilza, Ram Prasad, Ajit Varma, Menaka Devi Salam

“…The present study reports the ability of a fungal isolate <i>Aspergillus ochraceus</i> DY1, obtained from rotten wood, to degrade alkali lignin (AL) and lignocelluloses in an efficient manner. …”
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Memory reactivation during rest forms shortcuts in a cognitive map by Cal M. Shearer, Annalise B. Rawson, Helen C. Barron, Jill X. O’Reilly

“…Abstract Efficient and flexible cognition relies upon cognitive maps—representations of concepts and the relations between them. …”
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Path planning algorithm for logistics autonomous vehicles at Cainiao stations based on multi-sensor data fusion. by Yan Chen

“…Efficient path planning and obstacle avoidance in a complex and dynamic environment is one of the key challenges of unmanned vehicle logistics distribution, especially in the logistics scene of Cainiao Station, which involves crowded communities and dynamic campus roads. …”
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EMGP-Net: A Hybrid Deep Learning Architecture for Breast Cancer Gene Expression Prediction by Oumeima Thâalbi, Moulay A. Akhloufi

“…We evaluated EMGP-Net’s ability to predict the expression of 250 selected genes. …”
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PROPERMAB: an integrative framework for in silico prediction of antibody developability using machine learning by Bian Li, Shukun Luo, Wenhua Wang, Jiahui Xu, Dingjiang Liu, Mohammed Shameem, John Mattila, Matthew C. Franklin, Peter G. Hawkins, Gurinder S. Atwal

“…We developed a computational framework, PROPERMAB (PROPERties of Monoclonal AntiBodies), for large-scale and efficient in silico prediction of developability properties for monoclonal antibodies, using custom molecular features and machine learning modeling. …”
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Martini3-IDP: improved Martini 3 force field for disordered proteins by Liguo Wang, Christopher Brasnett, Luís Borges-Araújo, Paulo C. T. Souza, Siewert J. Marrink

“…Abstract Coarse-grained (CG) molecular dynamics (MD) is widely used for the efficient simulation of intrinsically disordered proteins (IDPs). …”
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