A Grover Search-Based Quantum Key Agreement Protocol for Secure Internet of Medical Things Communication by Tzung-Her Chen

“…QKA demonstrates particular suitability for IoMT’s decentralized medical networks by eliminating trusted authority dependence while ensuring equitable participation among all participants. …”
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A Survay on the Inhabitants View on the Relocation Plan of Islamieh Village by seyd Skandar Seydai, Yunes Azadi, Mohammad Reza Bosshaq

“…The most important reasons for the dissatisfaction  include loss of land, legal disclaimer of  properties, the rupture  of services and social networks , loss of  sources of income, social tensions,  problems  in the allocation of funds for housing construction in new location, the urban style of design in the overall form of the rural settlement, weakness or loss of cultural identity, traditional patterns of authority and potential for collaboration,  obstacles to the participation of the rural dwellers in the relocation process, physical problems in new settlements, and other factors. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…The experimental results for temperature prediction show that the hybrid models combining VMD with statistical and deep learning networks achieved improved forecasting accuracy compared with baseline models. …”
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MODELING THE BEHAVIOR OF ENTERTAINMENT CONTENT CONSUMERS TAKING INTO ACCOUNT DIGITAL TECHNOLOGIES by Olga Zyma

“…The relevance of the topic is determined by the growing role of social networks, streaming services, and user-generated content platforms, which are increasingly replacing traditional media distribution channels such as television and print publications. …”
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Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods by Asmaa Ameen, Ibrahim Eldesouky Fattoh, Tarek Abd El-Hafeez, Kareem Ahmed

“…With their extensive methodologies that would help in the early CVD prediction and recognition of behavioral patterns in large amounts of data, artificial intelligence, and data mining disciplines offer a broad study potential. …”
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A deep learning based hybrid recommendation model for internet users by Amany Sami, Waleed El Adrousy, Shahenda Sarhan, Samir Elmougy

“…The proposed model uniquely combines user-based and item-based Collaborative Filtering (CF) to effectively analyze user-item interactions, Neural Collaborative Filtering (NCF) to capture complex non-linear relationships, and Recurrent Neural Networks (RNN) to identify sequential patterns in user behavior. …”
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Mouse SPAG6L, a Key Cytoskeleton Modulator Essential for Male Germ Cell Development, Is Not Required for Sertoli Cell Function by Tao Li, Wei Li, Cheng Zheng, Jannette M. Dufour, William H. Walker, Shuiqiao Yuan, Zhibing Zhang

“…Since SPAG6L decorates microtubules and modulates cytoskeleton function, and Sertoli cells have a well-developed microtubule transport network, the potential function of SPAG6L in Sertoli cells was evaluated. …”
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Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning by Zaib Akram, Kashif Munir, Muhammad Usama Tanveer, Atiq Ur Rehman, Amine Bermak

“…Our approach begins by acquiring spatial features from contrast-enhanced images using a Convolutional Neural Network (CNN) effectively capturing intricate patterns and structures characteristic of different carcinoma subtypes. …”
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Hybrid deep learning framework for real-time DO prediction in aquaculture by Longqin Xu, Wenjun Liu, Cai Chengqing, Tonglai Liu, Xuekai Gao, Ferdous Sohel, Murtaza Hasan, Mansour Ghorbanpour, Shahbaz Gul Hassan, Shuangyin Liu

“…However, off-the-shelf models, such as Random Forest (RF) and Back Propagation (BP) have demonstrated poor performance due to intricate interactions in aquatic ecosystems, which leads to complex data patterns. This study proposes a water quality estimation model by combining a convolutional neural network (CNN), self-attention (SA), and bidirectional simple recurrent unit (BiSRU). …”
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AudioProtoPNet: An interpretable deep learning model for bird sound classification by René Heinrich, Lukas Rauch, Bernhard Sick, Christoph Scholz

“…We introduce AudioProtoPNet, an adaptation of the Prototypical Part Network (ProtoPNet) for multi-label bird sound classification. …”
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SmartTrust: a hybrid deep learning framework for real-time threat detection in cloud environments using Zero-Trust Architecture by Umesh Kumar Lilhore, Sarita Simaiya, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani, Afnan Alhazmi, Md Monish Khan

“…SmartTrust integrates CNN, LSTM, and Transformer models to analyze spatial and temporal patterns in network traffic and user behaviours. Unlike conventional models, it leverages Reinforcement Learning to enable adaptive decision-making, allowing it to adjust responses based on real-time contextual signals dynamically. …”
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DeepGuard: real-time threat recognition using Golden Jackal optimization with deep learning model by Fatma S. Alrayes, Hamed Alqahtani, Wahida Mansouri, Asma Alshuhail, Wafa Sulaiman Almukadi, Ahmed Mahmud

“…The DeepGuard model uses long short-term memory neural networks (LSTM-NNs) for violence detection. The performance evaluation of the DeepGuard model takes place using benchmark datasets. …”
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In Silico Analysis of Dysregulated Genes and Drug Resistance in Epstein-Barr Virus Associated Gastric Cancer by Tabassom Sedaghat Anbouhi, Hossein Sazegar, Ebrahim Rahimi

“…Recognizing its complex and diverse nature, the cancer genome atlas (TCGA) research network has identified four distinct subtypes of GC. …”
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An IoT intrusion detection framework based on feature selection and large language models fine-tuning by Huan Ma, Wan Zhang, Dalong Zhang, Baozhan Chen

“…Abstract The rapid proliferation of Internet of Things (IoT) devices has significantly expanded the network attack surface, necessitating the deployment of advanced AI (artificial intelligence)-based intrusion detection systems (IDS) to bolster IoT security. …”
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BRD4 as the key lactylation related gene in heart failure identified through bioinformatics analysis by Kaiyuan Li, Lingyu Han, Xiaowen Wang, Zhipeng Zheng, Min Sha, Jun Ye, Li Zhu

“…Key LRGs implicated in HF were selected using the Least Absolute Shrinkage and Selection Operator (LASSO) and Weighted Gene Co-Expression Network Analysis (WGCNA). The diagnostic efficacy and biological significance of these genes were evaluated through receiver operating characteristic (ROC) curve analysis, Gene Set Enrichment Analysis, and immune cell infiltration analysis. …”
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Performance Prediction of the Gearbox Elastic Support Structure Based on Multi-Task Learning by Chengshun Zhu, Zhizhou Lu, Jie Qi, Meng Xiang, Shilong Yuan, Hui Zhang

“…Neural networks offer a powerful means of capturing and interpreting the intricate associations linking structural parameters with performance metrics. …”
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Estimating chlorophyll content in tea leaves using spectral reflectance and deep learning methods by Yuta Tsuchiya, Yuhei Hirono, Rei Sonobe

“…Accurate estimation of chlorophyll content in tea leaves is essential for evaluating plant health, managing fertilization, and optimizing harvest timing in precision agriculture. …”
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Identification of the Wheat Protein Disulfide Isomerase-like Gene Family and Its Impact on the Structure and Properties of Gluten by JIANG Lanfang, TAN Xiaodi, LIU Xinyu, HAO Jianyu, MA Xiaofei, WANG Min, LI Xiaoli, JI Hutai, ZHANG Dingyi, ZHANG Yang

“…A total of 21 members of the TaPDIL gene family were identified and named TaPDIL1A to TaPDIL8D according to their chromosomal positions, and the length of their coding sequences, the physicochemical properties and secondary structure of the encoded proteins and their subcellular localization were evaluated as well as their expression patterns during grain development in high-gluten (Yaomai 36) and all-purpose (Pinyu 8155) wheat cultivars. …”
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Human–Nature Relationships in Country Parks at the Urban–Rural Fringe: A Case Study of the Huitian Region, Beijing by Zhenyu Li, Aibo Jin, Weijie Zhuang, Hui Li

“…These metrics are synthesized to map nature-suitability patterns and reveal divergences between human demand and ecological provisioning. …”
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Altered inter-hemispheric and intra-hemispheric functional connectivity dynamics in male cigarette smokers by Mengzhe Zhang, Huiyu Huang, Xiaoyu Niu, Jinghan Dang, Jieping Sun, Qiuying Tao, Weijian Wang, Shaoqiang Han, Jingliang Cheng, Yong Zhang

“…Conclusions This study revealed shared inter/intra-hemispheric dFCD variability of visual cortex, and different connection patterns of frontoparietal control network and insula at hemisphere level in smokers. …”
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