BIO-INSPIRED ADAPTIVE ANOMALY DETECTION IN IOT USING ARTIFICIAL IMMUNE SYSTEMS AND DYNAMIC DETECTOR SELECTION
The rapid growth of the Internet of Things (IoT) brings new options to innovative healthcare, transportation, and industrial systems. However, this expansion also increases cyber threats to these infrastructures. Standard anomaly detection systems use fixed machine learning models. Such models require frequent retraining and are not very sensitive ...
By Ashraf Thaker Mahmood, Qais Rashid Ibrahim
ANALYZING THE ROLE OF SOCIAL MOVEMENTS IN INFLUENCING POLICY CHANGE IN POST-COLONIAL UZBEKISTAN
Uzbekistan is a country in the post-colonial environment of Central Asia, which has undergone a stage of rigid isolationism before passing to the stage of authoritarian modernization. This article examines how social movements have been changing to affect policy change in this particular geopolitical region. However, the traditional position regard...
By Mirkomil Gudalov, Nemat Kushvaktov, Dilrabo Quvvatova, Elvina Azimova, Nafisa Samatova, Aynur Yeshmuratova, Rustamjon Khudayberdiyev, Umida Usmonova
THE ROLE OF DIGITAL TOOLS AND BIM IN SHAPING FUTURE EDUCATION IN ARCHITECTURE AND CONSTRUCTION MANAGEMENT
The combination of digital tools and Building Information Modeling (BIM) is an innovative force in the field of architecture and construction management studies. These technologies offer the students a more practical and engaging learning experience, which is more reflective of the practices in the industry. Through the integration of BIM and other...
By Zafar Matniyazov, Zilola Rakhmatillaeva, Mirkomil Gudalov, Tolqin Irgashev, Munira Umarova, Khusniddin Ruziyev, Sevara Berdimurotova, Gulnoz Murotova
INTEGRATING SUSTAINABLE PRACTICES AND AUTOMATION IN MINING ENGINEERING EDUCATION FOR THE MODERN ERA
Sustainable practice and automation in the field of mining engineering are becoming a fundamental component of educating the future engineers to respond to the challenges facing a changing mining industry. As mining operators are increasingly being pressured to utilize more environmentally sustainable practices and to adopt new automation technolog...
By Kamala Kodirova, Ozodbek Nematov, Anastasia Seitasmanova, Sarvinoz Qodirova, Feruza Sapaeva, Fotima Babajanova, Bakhtiyor Polvonov, Abduraim Adilov
NEXT-GENERATION SMART TRAFFIC MANAGEMENT SYSTEMS FOR REDUCING CONGESTION IN INDIAN METRO CITIES
In fast-developing Indian cities, congestion is a significant concern, as travel times are much longer, the environment is negatively affected, and infrastructure is overstretched. Conventional traffic management systems tend to be ineffective at addressing such problems because they rely on fixed traffic lights and lack data inputs. This paper pre...
By Anjali Goswami, Anjali Krushna Kadao
DATA SECURITY AND PRIVACY PROTECTION MECHANISM FOR POWER GRID SUPPLY CHAIN BASED ONDUAL-CONSORTIUM BLOCKCHAIN ARCHITECTURE AND IMPROVED BGN ALGORITHM
In the process of multi-party collaborative data sharing, the power grid supply chain system often faces security risks such as data islands, privacy leakage and tampering risks. It is urgent to establish a security management mechanism that takes into account efficiency and credibility. To this end, this study proposes a power grid supply chain da...
By You Wen, Mingjun Tang, Yijun Yang, Hong Luo
LANGUAGE OF MINING TECHNOLOGY EVOLUTION AND ITS ROLE IN ADVANCING ENVIRONMENTAL SUSTAINABILITY AND SAFETY STANDARDS
The research paper discusses the history of mining technology and the way it has contributed enormously to the advancement of the degree of environmental sustainability and safety in the mining industry. The paper will discuss the key technological developments in the mining sector, including automation, artificial intelligence, robotization, and e...
By Sobirjon Bazarov, Sardor Norboyev, Ulugbek Kosimov, Yayra Kasimova, Munisabonu Tursunboyeva, Lobar Bakhramova, Matyakubov Maqsad
CROSS-PLATFORM HATE SPEECH DETECTION BY TARGET CATEGORY: EVALUATING TRADITIONAL AND TRANSFORMER MODELS ENHANCED WITH SMOTE
Societal and technological challenges are significant when it comes to cyberbullying, which is an ubiquitous issue in the social media space including Twitter, Facebook, YouTube, and Instagram. This paper will focus on the identification of hate speech that targets particular individuals, especially in the context of the data in Hindi language. It ...
By Rachna Narula, Poonam Chaudhary
PREDICTION OF TOXIC-METABOLIC DISORDERS AT EMERGENCY CONDITIONS USING MULTI-LABEL CLASSIFICATION IN MACHINE LEARNING
Diagnosing critical conditions like Acute Liver Failure (ALF), Methanol Toxicity (MT), Alcohol Poisoning (AP), and Diabetic Ketoacidosis (DKA) is difficult due to similar symptoms and complex interdependent metabolism, often resulting in delayed and incorrect diagnoses in historic clinical practice. We present a hybrid machine learning framework in...
By S. Ramadoss, A. Kumaravel
DESIGNING THE EDUGROWTH MODEL TO OPTIMIZE STUDENT SUCCESS AND ACADEMIC PERFORMANCE
The EduGrowth model will maximize student success and academic achievement through a combination of individualized learning approaches, student service, and student data-based decision-making. The paper discusses the main aspects of the model and its implementation in learning institutions. It emphasizes the need to customize learning strategies ac...
By Najmitdinov Akhadkhon Khamitdkhanovich, Ibragimov Ulmas Rakhmanovich, Azizov Azizbek Sabitkhanovich, Dadajon Dadabayev Rustamovich, Abdumutalliev Abdulakhad Abdusamad ugli