Modeling the Current Suitable Habitat Range of the Yellow-Bellied Gecko (<i>Hemidactylus flaviviridis</i> Rüppell, 1835) in Iran by Saman Ghasemian Sorboni, Mehrdad Hadipour, Narina Ghasemian Sorboni

“…In this study, we used species distribution modeling (SDM) to look into where the yellow-bellied gecko, also known as the northern house gecko (<i>Hemidactylus flaviviridis</i> Rüppell, 1835), lives in Iran. …”
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XTNSR: Xception-based transformer network for single image super resolution by Jagrati Talreja, Supavadee Aramvith, Takao Onoye

“…Abstract Single image super resolution has significantly advanced by utilizing transformers-based deep learning algorithms. However, challenges still need to be addressed in handling grid-like image patches with higher computational demands and addressing issues like over-smoothing in visual patches. …”
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Navigating the Transformative Impact of Artificial Intelligence in Health Services Research by Guosong Wu, Fengjuan Yang

“…Key areas of focus included image processing and language processing. The review also addressed the ethical and practical challenges of integrating AI into healthcare. …”
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Identification of novel cyclin-dependent kinase 4/6 inhibitors from marine natural products. by Abhijit Debnath, Rupa Mazumder, Anil Kumar Singh, Rajesh Kumar Singh

“…These 25 candidates underwent consensus molecular docking using seven distinct algorithms: AutoDockTools 4.2, idock, LeDock, Qvina 2, Smina, AutoDock Vina 1.2.0, PLANTS, and rDock. …”
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Connectivity and community structure of online and register-based social networks by Márton Menyhért, Eszter Bokányi, Rense Corten, Eelke M. Heemskerk, Yuliia Kazmina, Frank W. Takes

“…Beyond population and distance-related patterns, communities also highlight the persistence of deeply rooted sociocultural communities such as the Dutch Bible belt. …”
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For a Semiotic Approach to Generative Image AI by Enzo D'Armenio, Maria Giulia Dondero, Adrien Deliège, Alessandro Sarti

“…., from a novel to a movie) and will also analyze the different kinds of “visual reasoning” characterizing Midjourney and DALL•E. …”
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IDENTIFYING IMPORTANT GENES IN OVARIAN CANCER FROM HIGH-DIMENSIONAL MICROARRAY DATA USING SIFS-CART METHOD by Ni Kadek Emik Sapitri, Umu Sa'adah, Nur Shofianah

“…Many studies only focus on improving the machine learning classification algorithms to achieve higher performance. The purpose of classification is not only to obtain high performance but also to seek new knowledge from the results. …”
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A novel feature selection technique: Detection and classification of Android malware by Sandeep Sharma, Prachi, Rita Chhikara, Kavita Khanna

“…Android operating system is not just the most commonly employed mobile operating system, but also the most lucrative target for cybercriminals due to its extensive user base. …”
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Image instance segmentation based on diffusion model improved by step noisy by Hui Ma, Wanchun Sun, Shujia Li, Jinjun Zhang

“…In this study, the main discussion revolves around how to use algorithms to improve recognition accuracy when applying diffusion models to image instance segmentation. …”
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Artificial intelligence in automation and graphic design by Esam Ibrahim Mohammed Al-Kubisy

“…Today, AI not only speeds up processes, allowing designers to focus on the creative part of their work, but also creates designs from scratch by following user inputs. …”
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Cancer phylogenetic inference using copy number alterations detected from DNA sequencing data by Bingxin Lu

“…The challenges are discussed from the aspects of input data, models of evolution, and inference algorithms. The different methods are grouped according to the markers used for inference and the types of the reconstructed trees. …”
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An Interpretable Machine Learning-Based Hurdle Model for Zero-Inflated Road Crash Frequency Data Analysis: Real-World Assessment and Validation by Moataz Bellah Ben Khedher, Dukgeun Yun

“…The second stage predicts crash frequency, also utilizing a customized loss function for count data. …”
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COMPARATIVE EVALUATION OF INDICATORS OF STRUCTURAL AND MECHANICAL PROPERTIES OF WHEAT GRAIN by P. V. Medvedev, V. A. Fedotov, E. S. Lukyanova

“…The vitreous nature of wheat allows us to predict the bakery and pasta advantages of flour from this grain. Hardness index also reveals a large degree of influence on wheat quality indicators.…”
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Dynamic Sharding and Monte Carlo for Post-Quantum Blockchain Resilience by Dahhak Hajar, Nadia Afifi, Imane Hilal

“…Scalability and security restrictions are posing new challenges for blockchain networks, especially in the face of Distributed Denial-of-Service (DDoS) attacks and upcoming quantum threats. Previous research also found that post-quantum blockchains, despite their improved cryptographic algorithms, are still vulnerable to DDoS attacks, emphasizing the need for more resilient architectural solutions. …”
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Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells. by Owen M O'Connor, Mary J Dunlop

“…Our results demonstrate that Cell-TRACTR exhibits strong performance in tracking and division accuracy compared to state-of-the-art algorithms, while also meeting traditional benchmarks in detection accuracy. …”
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Capability-driven framework to automate discovery of bounded contexts in large-scale requirements engineering by Shohreh Ajoudanian, Maryam Nooraei Abadeh

“…In the first layer, a meta-model is proposed to define a fault-free model instantiating the requirements model, and thereby ensuring consistency in the process of requirement execution and in the second layer the analysis algorithms are provided for discovering and querying the boundaries and capabilities of the system at the abstract level. …”
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Enhancing action recognition in educational settings using AI-driven information systems for public health monitoring by Changchun Lu, Han Ruijuan

“…Traditional methods, which primarily rely on rule-based algorithms or handcrafted feature extraction, face significant challenges in adaptability, scalability, and real-time processing. …”
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A prediction method for radiation proctitis based on SAM-Med2D model by Ning Zhang, Haifeng Ling, Wenyu Zhang, Mei Zhang

“…This approach not only enhances predictive accuracy but also provides a valuable tool for personalizing treatment plans and improving patient outcomes in cervical cancer radiotherapy.…”
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A Survey on Reduction of Energy Consumption in Fog Networks—Communications and Computations by Bartosz Kopras, Filip Idzikowski, Hanna Bogucka

“…We also classify the scenarios examined by the surveyed works with respect to the assumed parameters. …”
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3-PARAMETER GAMMA REGRESSION MODEL FOR ANALYZING HUMAN DEVELOPMENT INDEX OF CENTRAL JAVA PROVINCE by Hasbi Yasin, Syarifah Inayati, Setiawan Setiawan

“…The data used tend to follow the 3-Parameter Gamma distribution, which implies the HDI is modeled with 3-Parameter Gamma regression. 3-Parameter Gamma Regression is a regression that explains the relationship among one or more predictor variables with response variables that follow the 3-Parameter Gamma distribution. This research also includes the preparation of algorithms and computations in modeling 3-parameter Gamma regression. …”
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