NID-DETR: A novel model for accurate target detection in dark environments by Qingyuan Pan, Qiang Liu, Wei Huang

“…Furthermore, existing vision Transformer models demonstrate high computational complexity, indicating a need for further optimization and enhancement. …”
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Deep learning-based ensemble stacking for enhanced intrusion detection in IoT-edge platforms by P. R. Chithra Rani, K. Baalaji

“…Abstract The ever-rising deployment of Internet of Things (IoT) applications has thrown new security challenges primarily due to the complexity of network and resource constraints on an edge platform. …”
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A University-Stakeholder Collaborative Approach to Designing Early Childhood Mentor Teacher Training by Edith Nicolas, Cristina Guarrella, Parian Madanipour

“…These dynamic processes of information sharing resulted in a layering of knowledges that led to the creation of genuinely contextual professional learning resources. …”
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Contextual ITSM Adoption Across Educational Levels: A University and a Secondary School in Jakarta by Marcel Marcel, Nur Chalik Azhar

“…Three primary implementation challenges emerged: resource limitations, structural complexity, and cultural resistance. Based on these findings, we propose a phased transformation model (Stabilization, Standardization, Development) accommodating "layered maturity" - allowing institutions to operate at different maturity levels across ITSM domains rather than uniform advancement. …”
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Fast SVM-based Multiclass Classification in Large Training Sets by M. Yu. Kurbakov, V. V. Sulimova

“…Classical Support Vector Machines (SVM) is a popular, convenient and well-interpreted classification method, but it has a high computational complexity of a training stage in a nonlinear case and a low data parallelism. …”
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LPCF-YOLO: A YOLO-Based Lightweight Algorithm for Pedestrian Anomaly Detection with Parallel Cross-Fusion by Peiyi Jia, Hu Sheng, Shijie Jia

“…To address the issue of high complexity in current pedestrian anomaly detection network models, which hinders real-world deployment, this paper proposes a lightweight anomaly detection network called LPCF-YOLO (Lightweight Parallel Cross-Fusion YOLO) based on the YOLOv8n model. …”
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Parametric evaluation and predictive modelling of formability in μ-SPIF process by Sahu Vijay Kumar, Das Purnendu, Adhikary Avishek, Bandyopadhyay Kaushik

“…Localised deformation in terms of bending stretching and through thickness shears add the complexity in SPIF which intensifies in case of µ-SPIF due to size effect. …”
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Predictability of Lifetime Nonsuicidal Self-injury by Symptoms of Sleep Disorders Using a Neural Network Model by Shakiba Rezaei, Azita Chehri, Saeede Sadat Hosseini, Mokhtar Arefi, Hassan Amiri

“…Future research can test the complexity of sleep disorders connected to NSSI comorbid with other psychiatric conditions.…”
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YOLO-APDM: Improved YOLOv8 for Road Target Detection in Infrared Images by Song Ling, Xianggong Hong, Yongchao Liu

“…The design requirements of the high-precision detection of infrared road targets were achieved while considering the requirements of model complexity control.…”
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Implementation of Image Enhancement and Edge Detection Algorithm on Diabetic Retinopathy (DR) Image Using FPGA by Mumtahina Orthy, Sheikh Md. Rabiul Islam, Faijah Rashid, Md. Asif Hasan

“…The blood vessels of the retina, a layer of light-sensitive tissue located at the posterior aspect of the ocular globe, are adversely impacted. …”
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GDPR and Large Language Models: Technical and Legal Obstacles by Georgios Feretzakis, Evangelia Vagena, Konstantinos Kalodanis, Paraskevi Peristera, Dimitris Kalles, Athanasios Anastasiou

“…This paper examines the complexities involved in reconciling the design and operation of LLMs with GDPR requirements. …”
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Optimizing an LSTM Self-Attention Architecture for Portuguese Sentiment Analysis Using a Genetic Algorithm by Daniel Parada, Alexandre Branco, Marcos Silva, Fábio Mendonça, Sheikh Mostafa, Fernando Morgado-Dias

“…Designing an effective model involves numerous hyperparameters and architectural choices. To address this complexity, a discrete genetic algorithm was used to find an optimal configuration, selecting the layer types, placement of self-attention, dropout rate, and model dimensions and shape. …”
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Biochemical characterization of the Escherichia coli surfaceome: a focus on type I fimbriae and flagella by Devon W. Kavanaugh, Adeline Sivignon, Yannick Rossez, Zina Chouit, Christophe Chambon, Christophe Chambon, Louane Béal, Mathilde Bonnet, Michel Hébraud, Michel Hébraud, Yann Guérardel, Hang Thi Thu Nguyen, Nicolas Barnich

“…While the exact identity of the glycan(s) and their site of attachment currently elude detection by conventional glycomics/glycoproteomics, the current findings highlight a potential additional layer of complexity of the surface (glyco) proteome of the commensal or adhesive and invasive E. coli strains studied.…”
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Utilizing an Enhanced YOLOv8 Model for Fishery Detection by Hanyu Jiang, Jiacheng Zhong, Fuyu Ma, Cheng Wang, Ruiwen Yi

“…Due to the complexity of underwater lighting, image clarity and color are significantly affected. …”
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Res-LK-SLR: A Residual Network Based on Large Kernels and Shapelet-Level Representations for Spatial Infrared Spot Target Discrimination by Huiying Liu, Jiarong Wang, Weijun Zhong, Haitao Nie, Xiaotong Deng, Jiaqi Sun, Ming Zhu, Ming Wei

“…However, due to the complexity of actual scenarios and the limited opportunities for acquiring IRSs, resulting in noise interference, extremely small-scale datasets with imbalanced distribution of classes and widely varying sequence lengths range from a few hundred to several thousand time steps. …”
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A novel research on network security situation prediction based on iteratively optimized RBF-NN by Yuqin Wu, Congqi Shen, Shungen Xiao, Wei Feng, Yexian Fan, Xiuzhuang Zhou

“…Our proposed method leverages a resource allocation network (RAN) to dynamically determine the optimal number of neurons in the hidden layer, ensuring a balance between model complexity and prediction accuracy. …”
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Mesoscopic Structure of Lipid Nanoparticles Studied by Small-Angle X-Ray Scattering: A Spherical Core-Triple Shell Model Analysis by Hao Li, Panqi Song, Yiwen Li, Shuyang Tu, Mehwish Mehmood, Liang Chen, Na Li, Qiang Tian

“…Here, we present a core-triple shell SAXS model that resolves LNP hierarchical organization, including the inner lipid layer, intermediate hydrophilic region, and outer PEG corona. …”
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A Common Data Environment Framework Applied to Structural Life Cycle Assessment: Coordinating Multiple Sources of Information by Lini Xiang, Gang Li, Haijiang Li

“…This paper offers a scalable framework that reduces infrastructure complexity while allowing users the freedom to integrate diverse tools and APIs for customized information management workflows. …”
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Transformer-Based Vulnerability Detection in IoT Firmware Binaries Using Opcode Sequences by M. Nandish, Jalesh Kumar, H. G. Mohan, M. V. Manoj Kumar

“…This is due to the absence of source code, the inherent complexity of binary structures, the diversity of hardware architecture, and the difficulty of extracting deep contextual representations from binaries. …”
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Automatic Synthesis of Recurrent Neurons for Imitation Learning From CNC Machine Operators by Hoa Thi Nguyen, Roland Olsson, Oystein Haugen

“…The results demonstrate that the neurons evolved via the evolutionary approach exhibit lower syntactic complexity than LSTMs and achieve lower error rates than other networks. …”
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