Smart deep learning model for enhanced IoT intrusion detection by Faisal S. Alsubaei

“…This paper addresses these limitations with large preprocessing steps followed by hyperparameter tuning of machine learning XGBoost and deep learning Sequential Neural Network (OSNN) algorithms through Grid Search for their best values to improve multiclass intrusion detection across varied datasets. These deep models were then augmented with a variety of various filters, kernels, activation functions, and regularization techniques in an attempt to boost them in detecting complex, multiclass intrusion patterns. …”
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Exploration of machine learning approaches for automated crop disease detection by Annu Singla, Ashima Nehra, Kamaldeep Joshi, Ajit Kumar, Narendra Tuteja, Rajeev K. Varshney, Sarvajeet Singh Gill, Ritu Gill

“…Recent advancements in machine learning (ML) offer promising alternatives by automating the disease detection processes with high precision and efficiency. …”
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YOLO-MECD: Citrus Detection Algorithm Based on YOLOv11 by Yue Liao, Lerong Li, Huiqiang Xiao, Feijian Xu, Bochen Shan, Hua Yin

“…The experimental results and comparative analysis with similar network models indicate that the YOLO-MECD model has achieved significant improvements in both detection performance and computational efficiency. …”
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A lightweight personnel detection method for underground coal mines by Shuai WANG, Wei YANG, Yuxiang LI, Jiaqi WU, Wei YANG

“…The underground environment of coal mines is complex and has more safety hazards. Personnel detection is an important part of ensuring safe production in coal mines and building smart mines. …”
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Spatial Identification and Distribution Pattern of the Complexity of Rural Poverty in China Using Multisource Spatial Data by Zhenyu Qi, Jinghu Pan, Yaya Feng

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Intrusion Detection System to Advance Internet of Things Infrastructure-Based Deep Learning Algorithms by Hasan Alkahtani, Theyazn H. H. Aldhyani

“…The results of comparative predictions between the proposed framework and existing systems showed that the proposed system more efficiently and effectively enhanced the security of the IoT environment from attacks. …”
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A Frequency Domain-Enhanced Transformer for Nighttime Object Detection by Yaru Li, Li Shen

“…Our approach integrates physics-prior enhancement to improve the visibility of objects in low-light conditions, frequency domain feature extraction to capture structural information potentially lost in the spatial domain, and window cross-attention fusion that efficiently combines complementary features while reducing computational complexity, significantly improving detection performance without increasing the parameter count. …”
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Characteristics of Changes in Residential Building Layouts in Public Rental Housing Complexes in New Towns of Korea by Hyojeong Kim, Byungdeok Roh

“…Using a structured analysis framework, this research examined layout types (orthogonal, parallel, staggered, and mixed) and key planning elements (density, building height, orientation, and building forms) across 24 complexes. The findings reveal a transition from orthogonal layouts with uniform linear flat-type buildings in the 1990s to mixed and parallel layouts incorporating tower-type buildings in the 2000s, reflecting an increased emphasis on density and aesthetics. …”
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IMMUNOMODULATORY ACTION OF MYELOPIDUM UNDER ITS INCLUSION IN COMPLEX THERAPY OF PATIENTS WITH PENETRATING OCULAR INJURIES by T. V. Gavrilova, V. V. Chuprina, E. V. Davydova, Ju. I. Shilov, M. V. Chereshneva, V. A. Chereshnev

“…Examination of immunomodulatory actions and clinical efficiency of myelopidum when included into complex therapy that was carried out in 24 male patients with severe (stage 3) penetrating eye injury in the course of trauma treatment. …”
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Novel furfural-complexed approach to synthesizing carbon-Doped ZnO with breakthrough photocatalytic efficacy by Sajid Ali Ansari, Nazish Parveen, Abdullah Aljaafari, Adil Alshoaibi, Ghayah M. Alsulaim, Mir Waqas Alam, Mohd Zahid Ansari

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AI-enabled driver assistance: monitoring head and gaze movements for enhanced safety by Sayyed Mudassar Shah, Gan Zengkang, Zhaoyun Sun, Tariq Hussain, Khalid Zaman, Abdullah Alwabli, Amar Y. Jaffar, Farman Ali

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Specialized Large Language Model Outperforms Neurologists at Complex Diagnosis in Blinded Case-Based Evaluation by Sami Barrit, Nathan Torcida, Aurelien Mazeraud, Sebastien Boulogne, Jeanne Benoit, Timothée Carette, Thibault Carron, Bertil Delsaut, Eva Diab, Hugo Kermorvant, Adil Maarouf, Sofia Maldonado Slootjes, Sylvain Redon, Alexis Robin, Sofiene Hadidane, Vincent Harlay, Vito Tota, Tanguy Madec, Alexandre Niset, Mejdeddine Al Barajraji, Joseph R. Madsen, Salim El Hadwe, Nicolas Massager, Stanislas Lagarde, Romain Carron

“…This indicates that appropriately harnessed LLMs with curated knowledge bases can achieve domain-specific relevance in complex clinical disciplines, suggesting potential for AI as a time-efficient asset in clinical practice.…”
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Effect of complex microbial preparation of free-living and symbiotic nitrogen-fixing bacteria for agricultural crops by V. Goginyan, S. Harutyunyan, T. Stepanyan, G. Khachatryan, V. Bagiyan, R. Hovhannisyan, B. Harutyunyan, M. Kinosyan, N. Ghazanchyan, T. Davidyan, A. Verdyan, K. Chitchyan

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SFSCDNet: A Deep Learning Model With Spatial Flow-Based Semantic Change Detection From Bi-Temporal Satellite Images by K. S. Basavaraju, N. Sravya, Vibha Damodara Kevala, Shilpa Suresh, Shyam Lal

“…Semantic change detection in remote sensing imagery plays a pivotal role in urban planning, environmental monitoring, and disaster assessment applications. …”
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Performance Assessment of Atmospheric Water Generators: A Review of Evaluation Tools and Proposal for a Novel Advanced Global Evaluation Index for HVAC–AWG Hybrid Solutions by Lucia Cattani, Paolo Cattani, Roberto Figoni, Anna Magrini

“…This paper presents a brief review of the most widely used AWG evaluation tools and proposes a new index, called AGEI, designed to address the knowledge gap in evaluating hybrid plants from an efficiency perspective. The paper shows how this index provides results that more accurately reflect the real efficiency of hybrid plant configurations compared to the Global Evaluation Index (GEI), which is the only existing tool addressed to the evaluation of integrated multipurpose machines. …”
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A Detection Line Counting Method Based on Multi-Target Detection and Tracking for Precision Rearing and High-Quality Breeding of Young Silkworm (<i>Bombyx mori</i>) by Zhenghao Li, Hao Chang, Mingrui Shang, Zhanhua Song, Fuyang Tian, Fade Li, Guizheng Zhang, Tingju Sun, Yinfa Yan, Mochen Liu

“…The present study achieves precise counting of young silkworms in complex environments through an improved detection-tracking method combined with a detection line approach.…”
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TrimNN: characterizing cellular community motifs for studying multicellular topological organization in complex tissues by Yang Yu, Shuang Wang, Jinpu Li, Meichen Yu, Kyle McCrocklin, Jing-Qiong Kang, Anjun Ma, Qin Ma, Dong Xu, Juexin Wang

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Optimal selection of diagnostic method for diabetes mellitus using complex bipolar fuzzy dynamic data by Hanan Alolaiyan, Maryam Liaqat, Abdul Razaq, Umer Shuaib, Abdul Wakil Baidar, Qin Xin

“…Dynamic aggregation operators, known for their versatility and accuracy, play an important role in decision-making processes by successfully incorporating changes in data over time. The complex bipolar fuzzy set (CBFS) theory is advantageous in efficiently capturing vagueness because it can incorporate extensive problem descriptions that exhibit periodicity and bipolar ambiguity. …”
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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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PhishingAgent: an agentic workflow method for advanced phishing email detection by JIN Jiandong, HUANG Zheng, HU Zhanyu, ZOU Yuanxin, QIN Huidong, LAI Qingnan, YANG Jia, ZHOU Changling

“…PhishingAgent integrated multi-source knowledge bases and security tools to fully leverage the reasoning capabilities of large language model (LLM), enhancing the precision and depth of identifying complex phishing email attacks. The agentic workflow was built on a dual-system reasoning framework, a rapid detection system facilitates efficient preliminary threat identification, followed by a deep reasoning system that conducted detailed semantic analysis and contextual inference, significantly improving the interpretability of results. …”
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