TOURIST PERCEPTIONS ABOUT FOOD SERVICE CHARACTERISTICS IN ACCOMMODATION ENTERPRISES: AN IMPORTANTANCE-PERFORMANCE ANALYSIS

TOURIST PERCEPTIONS ABOUT FOOD SERVICE CHARACTERISTICS IN ACCOMMODATION ENTERPRISES: AN IMPORTANTANCE-PERFORMANCE ANALYSIS

female-chastity This study purposed to evaluate food-service characteristic perceptions according to tourists spending their holidays in accommodations enterprises in the region of AlanyaOkurcalar.The population of the study consisted of 382 people, who were selected through convenience sampling method on voluntary basis.The data obtained through t

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DDoSNet: Detection and prediction of DDoS attacks from realistic multidimensional dataset in IoT network environment

The Internet of Things (IoT) network infrastructures are becoming more susceptible to distributed denial of service (DDoS) attacks because of the proliferation of IoT devices.Detecting and predicting such attacks in this complex and dynamic environment requires specialized techniques.This study presents an approach to detecting and predicting DDoS

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LAD: Layer-Wise Adaptive Distillation for BERT Model Compression

Recent advances with large-scale pre-trained language models (e.g., BERT) have brought significant potential to natural language processing.However, the large model size hinders their use in IoT and edge devices.Several studies have utilized task-specific knowledge distillation to compress the pre-trained language models.However, to reduce the numb

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